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3689689428?profile=original

The upcoming Saturday is the World Book Day, and here share one of my favorite books to all UAV geeks. Out of Control: The New Biology of Machines, Social Systems, & the Economic World Co-Evolution of Man and Machine by Kevin Kelly. The concept the author brought out, the “hive mind” addresses how biological system handle complexity, moves over into industrial ecology and reflects the convergence of biological and technical systems. Through a vast communication network, everything seems to be closely linked.

You may already observer that more and more SOC sensor systems with compact and low-power design have been integrated into objects. They have the ability to communicate the object’s position, temperature, humidity, motion, light intensity, sound and so forth and interact with the object or even adjust the behavior of objects. This scenario is exactly how Kevin Kelly depicts. It is the dawn of a new era in which the machines and systems that drive the economy and society are so complex and autonomous to be indistinguishable from all living things. 2 billion people have access to Internet. Looking forward, 5 to 10 billion objects are going to be entered into another huge network which will tremendously change the life of human. For example, refrigerators go shopping or cars do fueling automatically, etc.Tersus GNSS was established by this inspiration.

Do you find this book and metaphors thought-provoking and entertaining? Take some time to digest if you are interested.

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3D Robotics

3D-printed mount for Lidar sensor

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Scultpteo, the 3D-printing service, has a blog post about how the Jarriquez team designed and 3D-printed parts for a Pixhawk-powered drone.  They selected Polyamide material:

“Polyamide made sense for two reasons. It is a material that has enough strength to support important part, but that remains flexible so that if stress is applied to the part it doesn’t break. And since we’re flying a drone, the fact that it’s light helps too.” says Mathieu Agostinucci."

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3D Robotics

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We're been hard at work at 3DR on system architecture and looking into new ways of building adaptable UAV systems.

Solo in particular leverages a number of distributed systems--vehicle, controller, and app--that continue to enable industry-leading flight autonomy--smart shots, and now the shot modes on etc. The complexity of UAV systems is only increasing, and handling messaging and data distribution between these systems in a reliable, high performance way is a complicated challenge.

After evaluating a number of options, we have selected eProsima Fast RTPS, a messaging middleware developed by eProsima, to power system-level messaging and data distribution on our future platforms. Fast RTPS is an open-source implementation of the RTPS standard. RTPS (Real Time Publish Subscribe) comprises the transport layer of the DDS standard developed and maintained by the Object Management Group.

We selected eProsima Fast RTPS over other available implementations for a number of reasons. Fast RTPS is feature complete, providing support for many of the advanced features available in RTPS that we’re excited about. Given our history of contributing to and supporting open source projects, Fast RTPS being open source was another compelling factor for us. Finally, Fast RTPS is also more approachable than other options we evaluated, increasing our confidence that we could make any necessary modifications and contribute fixes back upstream.

In connection with 3DR’s adoption of Fast RTPS, eProsima intends to join the Dronecode foundation to encourage further adoption of Fast RTPS. We’re also happy to announce that upcoming licensing modifications will enable Fast RTPS to be distributed on mobile platforms. Although Fast RTPS is currently licensed under the LGPLv3,  eProsima plans to provide an alternative license for Fast RTPS, enabling use of Fast RTPS under MPLv2, a license developed by the Mozilla Foundation. MPLv2 retains many attributes of LGPLv3 while allowing users to embed Fast RTPS in mobile applications.

3DR is not alone in the decision to use RTPS for data distribution on complex robotics platforms. The Open Source Robotics Foundation, developers of the ROS and ROS2 operating system, have also decided to use RTPS to power future systems. To further facilitate adoption and use of Fast RTPS, eProsima offers options for commercial support and development for companies seeking to use Fast RTPS in their platforms.

Looking for more information? Fast RTPS is available on Github and you can download from eProsima web site the latest binaries. Discussions about Fast RTPS (and RTPS generally) have already started in the Dronecode forums.

More about eProsima...

eProsima, The Middleware Experts, is a company focused on High Performance networking middleware. eProsima provides insight to develop your distributed systems recommending the right middleware products and supporting you in all the stages of the development.

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Size3 Tibbo Project PCB

Pinguinistas of the world, rejoice! Our Tibbo Project System (TPS) family now includes a Linux-based Tibbo Project PCB (LTPP).

Based on the powerful 1GHz Cortex-A8 Sitara CPU from Texas Instruments and carrying 512MB of RAM and 512MB of flash memory, the new LTPP3 board runs our own, highly polished distribution of Linux that is derived from the RedHat line and updated with the latest and greatest kernel and drivers.

The LTPP3 is mechanically and electrically compatible with our Tibbit blocks and size 3 Tibbo Project Box (TPB3) enclosures. This sets the LTPP3 apart from plain vanilla products such as Raspberry Pi and BeagleBone. While offering affordable Linux-based computing in a compact package, these devices do very little toward providing an attractive housing or a quick way to add desired I/O resources. In contrast, Tibbo Project System delivers aesthetically pleasing TPB enclosures to house the board, and a plethora of Tibbit modules and connectors to expand the board's IO capabilities.

The ingenious feature of the Tibbo Project System is that the top and bottom walls of its enclosures are formed by Connector Tibbits. The result is a neat, professionally looking housing every time, even for projects with the production quantity of one. This eliminates a huge problem of any low-volume production operation – the necessity to fit into and customize (drill, cut, etc.) off-the-shelf enclosures.

tpp3-perspective.jpg

Size 3 Tibbo Project System (TPS3) with Tibbit blocks and
Tibbo Project Box (TPB) enclosure (top cover not shown).

There are four distinctive ways in which you can use the new LTPP3.


Use it with Embedded AggreGate

Immediately upon the release of the LTPP3, you will be able to order your Linux TPS system with Embedded AggreGate software. Serving as the board’s execution environment, AggreGate lends LTPP3 its immense power of data collection, processing, and visualization. Further, AggreGate provides a uniform, consistent access to external data, devices, and systems using more than 100 supported communications protocols. Via a specially designed middleware C library, Embedded AggreGate is also able to access the board’s hardware resources, such as GPIO lines, serial ports, as well as Tibbit modules installed in board’s sockets.


Run Node.js applications

LTPP3 comes with Node.js preinstalled. We are currently developing Node.js modules for accessing the board’s hardware resources and installed Tibbit blocks. You can also utilize many existing Node.js modules, such as serialport and socket.io.


Execute TiOS applications

We are currently porting our popular Tibbo OS (TiOS) to Linux. When this work is completed, you will be able to run TiOS as a Linux application and execute existing Tibbo BASIC and Tibbo C code with little or no modifications. Needless to say, the new LTPP3 board will crunch Tibbo BASIC and Tibbo C apps at unparalleled speeds.


Use the LTPP3 as a generic Linux board...

... that comes in an attractive housing and may be extended with Tibbit blocks. Linux can be utilized in myriad different ways. Choose yours and deliver your project on the LTPP3 board and TPS product family.


The LTPP3 board is available for preorder. Deliveries start in May 2016. Click here to order yours.

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3D Robotics

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Run with LocalMotors. Enter here:

Rules:

  • The design shall be capable of vertical takeoff and landing

  • The aircraft shall include at least one fixed wing for forward flight

  • Maximum takeoff mass (MTOM) shall be below 25 kg: Vehicle weight when fully loaded < 25kg

  • The maximum wing span shall be below 5 meters and the maximum aircraft length shall be below 4 meters

  • The aircraft shall be modular for the ease of transportation.  The maximum length of the individual parts shall not be longer than 2 meters

  • Payload range requirement:

    • 5 kg payload: > 60 km range

    • 3 kg payload: > 100 km range

  • Payload bay:

    • A single payload bay shall be located near the aircraft center of gravity

    • Minimum payload bay dimension shall be 450 x 350 x 200 mm

    • The payload bay shall be located and accessible from the lower side of the aircraft and must be interchangeable with payload bay of same size and same interface. (Payload concept shall be modular to fulfill applications different from the cargo use case. e.g. sensor payload)

  • The cruise speed in fixed wing mode shall be at least 80 km/h

  • Max speed shall not exceed 194 km/h

*Can be electronically limited

  • The aircraft shall use at least 4 direct drive lift rotors/propeller but not more than 10 direct drive lift rotors/propellers

  • For energy storage off the shelf rechargeable batteries shall be used

  • Have reserved weight, space and power for the items outlined in the Ignition Kit and in the guidelines (Outlined in 3D and 2D models in the ignition kit)

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# Component Weight
(kg)
Power
(W)
Length
(mm)
Width
(mm)
Height
(mm)
Comments
1 Flight Control Computer .58 10 170 180 80
2 Intertial Measurement Unit .0575 5 100 30 40 Locate near the center of gravity
3 ADS-B Transponder .155 11 89 46 18 XP Family of Transponders,http://SagetechCorp.com
4 Antennas, etc... .322 7 - - - Sum of externally mounted antennas and air data probes
5 Flight Termination Parachute 1.02 10 280 120 50 XL96 Skycat
6 Flight Termination Launcher .18055 10 200 55 55 X55-CF Skycat
7 Camera System .483 21 97 95 97 Must be located in the front section of the aircraft for unobstructed forward view
8 Communication System .575 17 57 98 86 Command and control comms and video transmitter

*Boxes 5 and 6 are not required but are recommended as a solution to prevent catastrophic failure

  • Capable of sustained flight in all flight states while experiences 10 m/s head and cross wind

Read more about the challenge on our blog

Guidelines

  • "Keep it super simple"

  • Keep in mind: An optimized design contains the following

    • Ease of maintenance

    • 20 minute turnaround between max-distance missions

    • Swappable batteries

    • Consider the following weather conditions:

      • -30 to 50°C

      • moderate rain

    • Safe operation in all flight states

  • Human Factors and Safety Provisions

    • Transportable by two average size people

    • Limit time on ground with rotors spinning

    • Modular design for ease of transport

  • The aircraft shall be able to be disassembled and transportable. Consider different scenarios of shipping to perhaps even remote places (van, vessel, aircraft, truck, ISO container etc.).

  • Design guideline for your design:
    • May consider a disc loading between 10 kg/m^2 and 50 kg/m^2.

    • May consider a wing loading between 10 kg/m^2 and 30 kg/m^2.

*(these is are just recommendations)

  • Mitigate consequences of failure

    • Any failure of the aircraft in flight (loss of power or control) should be planned for (example: parachute recovery system) so that the vehicle would not pose a serious threat to people or property on the ground.

  • May consider a landing gear for conventional fixed-wing take-off and landing

*If space and weight allow

Additional Deliverables

The following deliverables can be done as 2D or 3D drawings or models, but all entries must include the following boards:

  • Brief design description

    • Included on top of submission page

    • Requirements

      • General inspiration for design

      • Explanation of design details

        • Landing gear

        • “Waterproofness”

        • Modularity/Ship-ability

        • Ease of handling

        • Weight

        • Fail Safe components to prevent catastrophic failure

        • Safety provisions:  Limit time on ground with rotors spinning

  • 3-view drawings (top, side, front) with major dimensions

  • Show structural concept (spars, carbon rods, etc)

    • Show main structural components (wings, fuselage, inner structure)

    • Show equipment location (batteries, motors, actuators etc.)

    • Show location of supplied space reservations from the ignition kit

    • Show landing gear concept

  • Payload and Cargo concept (to be included as sketch and short design description)

    • Interior dimensions along with provisions for securing cargo

    • Configurability concept to change from cargo to sensor payload

  • Frame Sheet with populated geometric and aerodynamic data 
    • *Populated white cells
  • Optional Deliverables

    • Isometric view

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mQXo3hMW8gN8QsTSkCm3s6dsxKraLWBOXidaCFngqp7cNozcvBAh70gBa7-6rSXEZho2qcyw9vtzZMweLKTasirkG6W1PfM0YBTbuS3jys9ISraaBZtGKhCGt0ZqNPCB_FMQPzH0

 

Our team at Erle Robotics is glad to announce that the simulation for the Erle-Rover has been launched and open sourced.

For those that don't know it yet, Gazebo is a powerful real time physics simulator that allows the developers to test their algorithms in a secure and agile way. It runs along ROS (Robot Operating System) and that’s probably what makes it perfect, plus it offers a variety of sensors (such as lidars, cameras, range finders) in form of plugins that can be added to any robot model. We expect the APM community to benefit from this work and simulate their autonomous rovers using these tools.

The plugin has been developed over AurelienRoy’s plugin which, in a nutshell, is an interface between Gazebo and APM:Rover (ardupilot). Erle Robotics added to this plugin support for their Rover.

 

To show the power of this plugin, here are some behaviours we developed and tested:

  • Obstacle avoidance : a simple but powerful enough algorithm to avoid obstacles. This behaviour was tested first under Gazebo and then brought to real life scenario. It uses a 270º HOKUYO lidar sensor, but all the details and the source code can be found here.

  • Line following : line follower algorithm using the camera. Again, all details as well as the source code can be found here.

  • SLAM : SLAM application using hector_mapping node, a powerful SLAM approach that can be used only with a lidar sensor. All the details, including source code are available here. This also was translated to a real scenario.

Additional information and resources:

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Flying Robot Commander for PaparazziUAV

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It's been a few months since the last Flying Robot Commander(FRC) update so I thought it might be a good time to share again. Most of the recent work has been focused on making the code more modular to support variant UI as well as protocols. Currently, the FRC, is integrated with PaparazziUAV via PPRZLINK. That being said, it's fairly straightforward to add a MAVLink interface as well. The project leverages python along with Flask micro-framework to facilitate a RESTful, web-based interface. For those wondering what those symbols are in the above, image, it's Klingon. Need to work on a Vulcan theme next. Check out a video of the FRC managing six aircraft using Paparazzi UAV GCS. Live long and prosper. ~HooperFly

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3D Robotics

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Now with upgraded motors and batteries, for a flight time of 25 minutes. Fully APM-compatible so it supports Mission Planner, APM Planner, and Tower, with the standard 3DR radios, as shown below (you can buy them here). That's a lot of value for $330!

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Building on the ground breaking success of the Quanum Nova, the Nova Pro is the next generation in GPS drone technology from Quanum.  

The Quanum Nova Pro represents our commitment to the continued development of our flagship aerial camera platform with one primary goal in mind - to provide our customers with an easy to operate, user friendly drone that is capable of professional flight performance.

And with our Nova Pro thats exactly what you get!  The perfect aerial platform for carrying your GoPro or other similar sized action cameras to shoot amazing aerial video!

The Nova Pro retains the high quality white molded body which not only looks slick but is durable and extremely light weight.  The lower body shell of the Nova integrates bright LED lights, green in the front arms and red in the rear, making orientation easy in both day and night flying. Additionally, there are two large status indicator LEDs at the rear which show the current status, such as GPS signal and battery condition.

The motors on the Nova Pro have been upgraded to the powerful and more efficient 2312 960KV size and it has a larger battery compartment to accommodate up to a 5200mAh 3S battery pack. These improvements now enable flight times of up to 25 minutes!

Arriving fully tuned and setup, you simply need to install the landing gear and props, charge the battery and fly.  It's that easy.  Headless Mode, GPS position hold, Altitude hold and Return to Launch functions are all available but thats not all, the Nova Pro is also full telemetry and mission capable.

For more advanced users or as your skills progress, the APM flight controller allows you to use Mission Planner to gain access to a whole host of programming options including selectable flight modes, GPS waypoint functionality, advanced tuning and much more!

The Nova Pro is also completely compatible with the HK Pilot Transceiver Telemetry Radio Set, taking the Nova Pro to the next level in autonomous flight programming and control and with the addition of the Quanum Bluetooth Telemetry Box, flight data and waypoint navigation can be completely and is conveniently wireless.  

Yes it's a great flying machine but lets get down to its real business, the Nova Pro is all about aerial camera work so it has been designed to be directly compatible with both our Quanum Q-2D and Q-3D brushless gimbals.  Simply bolt-on your preferred Quanum gimbal and connect it to the integrated gimbal control plugs on the bottom of the Nova Pro. The on-board connections provide power and axis control for either of the Quanum gimbals we recommend and you have a truly versatile and professional "camera ship".

The Quanum Nova Pro is an amazing piece of technology that will enable you to shoot professional level aerial video and we know that once you've compared the features, functionality, flight performance and price of other GPS quadcopters on the market today, the Quanum Nova Pro will rise above the crowd.

Features:
• Multiple preset flight modes such as Manual, Stable (loiter), Direction Locked (simple), Altitude Hold and Return to Home
• GPS waypoint mission capable through Mission Planner, advanced tuning and much more (for Advanced users)
• USB port for connection to your PC
• Precision GPS, compass and altitude sensors
• Q-2D and Q-3D brushless camera gimbal ready (sold separately)
• On-board tilt/roll control and power connections for use with optional brushless camera gimbal
• Low voltage battery protection initiates blinking LEDs and audible buzzer when flight battery is low
• Easy to see LEDs provide excellent visibility in both day or night flying
• Fully compatible with HKPilot Telemetry Transceiver Set with built in Telemetry Tray
• Fully compatible with Quanum Telemetry Box
• Programmable navigation capable through 3D Robotics Tower App

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You are faced with a few thousand hectares of rainforest that you know harbours one or more orangutans that you need to track down. All you have is a 2 second VHF ping from an implant that you can pickup from 100-400m.

Where, how, and why do you start looking? One way is to use a drone with a suitable radio payload..

Too long to paste the full background, but the source blog post can be found here:

https://dirkgorissen.com/2016/04/19/wheres-susi-airborne-orangutan-tracking-with-python-and-react-js/

Clip from one of the flights:

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3D Robotics

3689689291?profile=originalGo Matthew! I just wish the WSJ had actually linked to your project or given any additional info at all. Here, let me help you with that.

From the WSJ article:

The green tractor trundling across a Manitoba field with an empty cab looks like it’s on a collision course with Matt Reimer’s combine—until it neatly turns to pull alongside so he can pour freshly harvested wheat into its trailer.

The robot tractor isn’t a prototype or top-of-the-line showpiece. It’s an eight-year-old John Deere that the 30-year-old Mr. Reimer modified with drone parts, open-source software and a Microsoft Corp. tablet. All told, those items cost him around $8,000. He said that’s about how much he saved on wages for drivers helping with last year’s harvest.

Mr. Reimer’s alterations, which he hopes to replicate for other farmers this year, are part of a technology revolution sweeping North America’s breadbasket. Farmers, many of them self-taught, are building their own robotic equipment, satellite-navigation networks and mobile applications, moving their tinkering projects out of machine sheds and behind a computer screen.

This homespun hacking—which sometimes leapfrogs innovations by big equipment companies like Deere & Co. and navigation specialists like Trimble Navigation Ltd.—reflects dwindling farm incomes, the low price of electronic hardware and, sometimes, off-season boredom. Such projects could eventually compete for farmers’ dollars in the farm-technology market, which generates an estimated $2 billion in annual sales, according to data and research firm IBISWorld.

“Even if they release [autonomous tractors] next year, it’s probably going to be 15 years before that technology trickles down to every farm,” said Mr. Reimer, referring to the big farm-equipment companies. What’s more, his version would be “a lot cheaper than if somebody’s got five to 10 engineers working full-time on something like this,” he said. He added that his system doesn’t require altering Deere’s own software or coding.

The engineering-school dropout says he picked up programming from online forums and coursework archived on the Massachusetts Institute of Technology’s website, though he said he didn’t complete that program either.

Technology is already firmly rooted in modern farming, allowing a shrinking number of farmers to oversee more acres. Advances like auto-steering tractors have freed some farmers to trade futures contracts and gripe about the weather on their smartphones from inside a tractor cab, pausing only to turn and stop their machines. Defectors from Silicon Valley powerhouses like Google Inc. and Yahoo Inc. are building software to analyze soil and manage fertilizer use.

A three-year slump in major crop prices, however, threatens the big bet on farm technology by companies like Deere, Monsanto Co. and DuPont Co., which have sunk hundreds of millions of dollars into precision-guided planters and algorithm-powered advice on managing crops—plus cloud-based systems to manage the data. Sliding prices for everything from meat to melons has U.S. net farm income on pace to fall to $54.8 billion this year, down 56% from 2013 and the lowest level since 2002, according to government forecasters.

Kinze Manufacturing Inc., an Iowa-based farm-equipment maker, is working ondriverless tractors, including a system that allows several to load grain on the same field. Kinze continues to invest in the research, but Phil Jennings, service manager at the company, said turning a profit from such cutting-edge machinery gets harder when the price of corn, the most widely grown U.S. crop, is at less than half its summer 2012 peak.

With less money to spend, some farmers say they can build their own tools, suited to their farms, at a lower cost.

“Poverty is the mother of invention,” said Jim Poyzer, 65, who returned to farming six years ago after a few decades in computer programming. During the winter months four years ago Mr. Poyzer began tinkering with a microprocessor, eventually developing a system to monitor and adjust how many seeds his planter places in his fields near Boone, Iowa. The system tailors the flow of seeds to the soil’s ability to produce healthy crops.

Matt Reimer, whose farm is south of Killarney, Manitoba, checks the control box for his autonomous tractor.

He estimates the system’s cost at about $750, versus commercial versions that retail for around $5,000, and says it helped him save about $1,000 a year on seeds. “That’s not much, but farmers are trying to optimize everything,” he said.

Now, Mr. Poyzer is working on other projects, like a solar-powered sensor to monitor soil temperature that he says could help him get a jump on planting.

Some companies, including Deere, have taken steps to prevent anyone from modifying the software that runs their equipment, and also warn that altering a tractor’s systems could put farmers and workers at risk. Deere uses copyrights and other intellectual-property measures to protect its software.

“We always have producers wanting to build on top of those solutions. I think it’s a great thing,” said Cory Reed, head of Deere’s intelligent solutions group. But when it comes to Deere’s software, Mr. Reed said, “there has to be a limit, both for regulatory safety and for proprietary reasons.

Deere doesn’t object if farmers create their own systems to work with Deere equipment, without altering the company’s embedded software, so long as these meet industry standards, he said.

Some farmers-turned-techies aim to reap profits on their innovations. Dirt Tech, a startup run by two farmers and two software engineers, is developing a range of mobile applications that help map soil fertility across farmers’ fields, or mark rocks to avoid damage to machinery or allow for yanking them out. The Elbow Lake, Minn., company’s apps have been downloaded more than 4,500 times.

“We really enjoy solving these problems,” said Ben Brutlag, a co-founder of the company who raises corn, soybeans and sugar beets near Wendell, Minn. But, he said, “we’re definitely trying to make some better money at it.”

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3D Robotics

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Quartz has a good piece on how a Guyanese tribe, working with Digital Democracy, are using an Arduplane they built to monitor their land and spot illegal logging. Excerpt:

They mounted a camera donated by GoPro and programmed it to take a photo every two seconds. This created a series of stop-motion images that could later be layered to create a multi-dimensional interactive map. They controlled the drone with Mission Planner, an open-source flight-tracking software.

....

The community’s land rights struggle began in the 1950s, prior to Guyana’s independence from Britain. In 1977, the titling of indigenous lands began. But local leaders’ requests were denied; they were only granted 15% of what was rightfully theirs, they say, and have lost some of that to illegal logging. They’re now fighting to reclaim some of the land that has been granted to extractive companies. Such deals, they say, reek of malfeasance. The Guyana Geology and Mines Commission has been accused of corruption, and Guyana as a whole is one of the most corrupt countries in South America.

“With the drones, we can go into really inaccessible areas,” Fredericks told Quartz. Using its footage, the Wapichan are assembling a “living map” to document their customary land use—and to demonstrate to the government how outside interests were impinging upon lands the Wapichan have safeguarded for centuries.

Their drone confirmed what the Wapichan had long suspected: In the south, close to the border with Brazil, illegal loggers were harvesting trees in lands that were supposed to be protected. And the gold mine at Marudi Mountain, to the southeast of Shulinab, appeared to be leaching pollution into the headwaters upon which the Wapichan depend.

“We are hoping to get them to recognize that these maps will actually help the government to resolve issues,” Fredericks said. “Without our lands, our futures are in jeopardy.”

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3D Robotics

3689689356?profile=originalI'm delighted to announce that we're going to be having our first Chinese Dronecode unconference next in Beijing next Thursday, April 28th. I'll be in Beijing speaking at the big GMIC conference and we thought it would be fun to meet up with Dronecode developers at the same time. 

All details here. If you're going to be in Beijing then, please join us! (it's free)

Agenda: 

13:30 - 15:40 Speech

13:30 - 14:00 Chris Anderson Chris Anderson: UAV past and future.

Chris Anderson Chris Anderson, three internet Bible class best-selling book "The Long Tail," "free" "a guest" author, the largest US drone manufacturers 3DR the CEO, the open source community DIY Drones UAV founder, It was at his urging, ArduPilot open source flight control program was developed into what it is today. Today ArduPilot handed over to the Linux Foundation's project Dronecode identity Chris Anderson will be the President of the project Dronecode attend the event.

14:00 - 14:20  full Northern associate professor:  multi-rotor UAV Opportunities and Challenges

New technology foresight, needs and direction of technological innovation, risk analysis, opportunities and challenges

14:20 - 14:40 The castle UAV, UAV technology industry, market analysis critic: open platform data in an era UAV ecosystems

Human society has entered the era of data. From traditional data transfer (Internet) to a data acquisition (IOT), a data processing (big data), data generation (VR) in-depth development. UAV as a branch of the robot, with full motion capability dimensions of space, it is the real world and the world of Fuji data port. Characteristics of the Times and the data requirements and the network platform fit, will have a joint effect UAV environment.

 

14:40 - 15:00 Small as individual developers: use ArduPilot do the secondary development experience Experience

Flight patterns and the development of new fixed-wing takeoff auxiliary functions, to adjust the parameters MininOSD added function, so try to get rid of the flight control ground station

15:00 - 15:20 Doctor CHANGCHUN: Industry Practice Dronecode Platform

Electrical inspection, precision agriculture applications such as practitioners, to bring within the industry experiences

15:20 - 15:40 snail Tsinghua graduate student: How to develop a UAV company

15:40 - 16:00 Big Qian Cheng: DroneKit development practices

Application DroneKit UAV API and Future Prospects

16:00 - 16:40 Salon

Discussion on the development of domestic UAV

16:40 - 17:10 Projects

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3D Robotics

From the video: 

Generating Dynamically Feasible Trajectories for Quadrotor Cameras
Mike Roberts, Pat Hanrahan
SIGGRAPH 2016

Abstract: When designing trajectories for quadrotor cameras, it is important that the trajectories respect the dynamics and physical limits of quadrotor hardware. We refer to such trajectories as being feasible. In this paper, we introduce a fast and user-friendly algorithm for generating feasible quadrotor camera trajectories. Our algorithm takes as input an infeasible trajectory designed by a user, and produces as output a feasible trajectory that is as similar as possible to the user’s input. By design, our algorithm does not change the spatial layout or visual contents of the input trajectory. Instead, our algorithm guarantees the feasibility of the output trajectory by re-timing the input trajectory, perturbing its timing as little as possible while remaining within velocity and force limits. Our choice to perturb the timing of a shot, while leaving the spatial layout and visual contents of the shot intact, leads to a well-behaved non-convex optimization problem that can be solved at interactive rates.

We implement our algorithm in an open-source tool for designing quadrotor camera shots, where we achieve interactive performance across a wide range of camera trajectories. We demonstrate that our algorithm is between 25x and 45x faster than a spacetime constraints approach implemented using a commercially available non-convex solver. As we scale to more finely discretized trajectories, this performance gap widens, with our algorithm outperforming spacetime constraints by between 90x and 180x. Finally, we fly 5 feasible trajectories generated by our algorithm on a real quadrotor camera, producing video footage that is faithful to virtual shot previews, even when the trajectories are at the physical limits of the quadrotor’s capabilities.

http://graphics.stanford.edu/papers/f...

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Aurora's Lightning Strike Prototype can hover

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http://www.gizmag.com/darpa-x-plane-flight-minature/42867/

I still don't like the design but i guess I am warming up to it.  I think some benefits are that distributing lift over the span of the wing helps structurally, fast moving air over the top of the wing prevents stalling during transition and increases lift during flight and the canard setup is good for cg during hover if you have your thrust mounted to your wings...

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We are glad to announce the compatibility of FlytOS (framework for commercial drone applications development) with the Ardupilot flight stack, as we had promised earlier.

What this means is, that the Ardupilot community can now easily leverage the companion computers (Ordoid, Raspi 3, TX1 and others) to build variety of commercial high-level drone applications. All the capabilities of FlytOS, including, Gazebo-3D simulator, mobile/web APIs, computer-vision APIs, FlytConsole, authentication/security, etc. are now fully supported on the Ardupilot based drones.

Here is how a simple android joystick app can be used to control an Ardupilot drone:

An android app to get your drone operate in follow-me mode:

Use the FlytVision APIs for building advanced computer-vision applications for your ardupilot-powered drones:

Or, use FlytConsole, the web-based GCS, for configuring and operating your ardupilot-powered drones:

Build and test your drone applications in simulation with FlytSim (ROS/Gazebo based):

Instructions on using FlytOS for your commercial drone applications can be found here:

http://docs.flytbase.com/docs/FlytOS/FlytOS.html

The github repository for a variety of applications built for FlytOS is available here:

https://github.com/flytbase/flytsamples

To download and learn more about FlytOS, please visit: http://flytbase.com/flytos/

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Mapping with A Flying Wing

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I've had great success doing mapping with my Aeronavics hexacopter using a Pixhawk and Sony NEX 7 camera. But I wanted to start covering larger areas so I decided it was time for me to have a go at flying fixed wing aircraft. I started out with the excellent Volantex Ranger (HobbyKing sell it as a Quanum Observer) but the camera was a bit large for it so a friend suggested I have a try of an X8. We dragged a dusty old test X8 out of another friends garage and off we went. It wasn't long before we figured out how to bungee launch and auto land it thanks to some help from Tridge: 

And just today I finally managed to get the camera mounted and triggering from Mission Planner thanks to CUAV team member Jack who made a custom cradle to hold the camera. He also added a wire frame skid around the launch hook and a little skid pad on the rear of the plane to smooth out the landings. Up to this point we have only flown the plane with a single battery and no camera, so I was a bit worried when we launched it today that it might not accelerate fast enough to lift the extra payload. When I released the plane it launched almost exactly the same as before adding the camera and extra battery. 

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So it was great day of flying and we are looking forward to our next test in a few days where we will be testing the endurance and doing some test mapping runs. 

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3D Robotics

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Just announced at NAB:

The latest stream of cutting-edge software from 3DR includes augmented reality, interactive scene awareness and new Smart Shots, and it will dramatically enhance the aerial filming experience and all-around safety of drone flight.

Apr. 18, Las Vegas — Today 3DR, America’s largest drone maker, announced their Solo smart drone will support a suite of advanced software that will make Solo more powerful, more safe and overall a more versatile drone. From the drone’s release at NAB 2015, 3DR has promised this kind of evolution. The new software includes augmented reality, customizable geofencing, automatic flight path rewinding and two new Smart Shots, Pano and Zipline. It will be compatible with any and every Solo, dramatically multiplying the possibilities for creative storytelling, and making the experience of flight safer and more sophisticated than ever.

SCENE AWARENESS VIA SOFTWARE

In 2016, 3DR has invested in a software approach to scene awareness. The company evaluated the current state of sense-and-avoid hardware, and, while available and viable to mount on drones like Solo today, it’s still imperfect. As opposed to first-generation on-board hardware that can make pilots overconfident to the point they might overlook their environment, this comprehensive approach does the opposite, raising the user’s awareness of their environment and of what they’re asking the drone to do in that environment. It makes everyone a safer, more informed and more effective pilot.

 

Augmented Reality (see image above)

Breakthrough Augmented Reality features enhance the overall flying and Smart Shot experience. The Solo app will overlay visuals in real time on your mobile screen; for example, animating your home point, or your Orbit point of focus. This improves the visualization and execution of creative shots, along with providing another dimension of real-time scene awareness for safer, more informed and more productive flights.

Custom Geofencing

New in-app geofencing gives users the ability to define a virtual fence around Solo at any time in flight just by drawing on their screen with their fingertip. Users can define this virtual “safety net” for Solo to fly within by setting four points on their satellite view; this will create an area around Solo that the drone can’t leave. Users can do this before taking off or while Solo is in the air, allowing them to easily block off nearby obstacles or entire areas at any time.

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Rewind

With the press of a button, Solo will retrace its exact path for the last 60 feet of your flight (this distance will be user-definable in the app) to ensure it avoids obstacles on its way back home.

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NEW SMART SHOTS

Pano

Solo now has a new “Pano” Smart Shot. (Smart Shots are 3DR’s breakthrough computer-assisted cinema technology that enables users to capture the kinds of complex shots that used to require years of practice.) Pano allows users to easily design and capture an aerial panorama. Take time to set up the perfect shot, then Solo automatically pans and snaps the right photos at the right time.

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Zipline

The Zipline Smart Shot allows users to set an infinite ray in any direction the camera is facing, just by pushing a button. They can then fly up and down that line, controlling speed and direction as well as the camera. Quickly fly in any direction to catch fast-moving subjects; or fly at an angle, even straight up, for dynamic shots. Zipline also has a “spot lock” feature for fixing the camera on a point of interest independent from the zipline. Look at something, press spot lock and Solo keeps the camera fixed on the subject while the copter approaches and passes on the zipline, for a dramatic flyby.

 

Follow Updates

The inventors of the follow drone continue to lead the way in this technology. Follow now offers a “leash” mode, where Solo will always follow from directly behind the subject. This can also be useful for obstacle avoidance; if the subject travels along a path with obstacles on either side (at a reasonable distance), Solo will take the same route. In addition to leash mode, Solo will also account for altitude changes (available on iPhone 6 and above) when following a subject climbing or descending slopes. And those who want to shoot over water will be happy to see the new “boat mode,” which allows Solo to take off from a moving platform.

 

“We didn’t design Solo as a product, but as a platform — which is industry jargon for ‘ongoing experience,’” said Colin Guinn, CRO of 3DR. “This means that instead of pouring our innovation into a whole new drone to sell you, we keep developing on Solo, so the technology in the drone you have today just gets better as time goes on. Solo has delivered on that promise, a drone that’s evolved ahead of the technology curve and anticipated with what serious pilots and creatives really want in their drone. We’ve always been committed to thoughtfully applying the smartest technology to help you harness your own creativity, so you can easily and quickly create and capture the incredible shots you want. This release extends the experience you can take to the air, and also makes everyone a more engaged and safer pilot.”

To buy Solo, click here.

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100KM

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In the last 4 years of being involved with UAVs I’ve always lacked a good ground station, one that’s practical and quick to deploy.

 

So I started drawing up a list of requirements. I had to draw the line somewhere, or the cost and weight would run away, so I ended up with a shortlist of key requirements that I need from a ground station. I had a look around and could not find a good fit – most of the pro systems are for non-APM auto pilots and they start at US$ 11 000 with very little standard features.

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I decided to build my own and after 4 major revisions, I ended up with a prototype that’s been with us for more than a year, working reliably day in and day out, through dust and rain, extreme heat, cold and wet. It’s been a life saver with work and demonstrations and makes the tricky job of UAV operations that much simpler.

I highly recommend anyone in the business to take serious the setup of a practical ground station. For those who do not have the time or inclination to DIY (it does take a surprising amount of time to develop), we can offer “Field Ops”.

Features:

  • Internal lithium ion power pack capable of 8 hours’ continuous operation with peripherals
  • Embedded in a Pelican case – crush proof, water proof, dust proof – VERY tough
  • Thumbstick for controlling the aircraft or camera gimbals
  • Secure on-off switch with key to ensure no accidental switch-off
  • USB 3 Port
  • LAN Port
  • HDMI Output
  • Wifi & Buetooth (Embedded 4G optional)
  • Internal APM Telemetry 1/2 Watt radio (433, 868 or 915) or as required
  • Wireless keyboard
  • External DC (12-20v) or AC input with automatic charging of internal batteries
  • Stowage for RC control accommodating space for external transmitter modules at the back of the radio (e.g. Dragonlink on the back of a Taranis transmitter)
  • Intel i7 PC with SSD drive
  • Super bright 10” HD screen for PC (Mission Planner)
  • Super bright 7” FPV screen (Internal diversity 5.8ghz receivers, DVR, Aux Input via front console)
  • Tough ABS Plastic panelling

To order, please contact us on info@airsecure.co.za. Our web site is on http://airsecure.co.za. Cost ranges from US$4 500 - US$ 5 500 depending on options and building takes about 7 work days.

Also feel free to email us to discuss options or ask questions on how to DIY.

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