On March 23rd in San Jose, we had the first DroneCode conference, as part of the Embedded Linus Conference. Above is just the first meeting of official DroneCode members (mostly representatives of the member companies), but the rest of the day was in a much larger forum for technical presentations.
The presentations have now been posted here and here, and copied below:
Monday kicked off our first Dronecode conference as part of the Embedded Linux Conference. Here is a summary of the presentations made at the Dronecode conference and Drone related presentations made as part of the Embedded Linux Conference.
Keynote - Chris Anderson
Alignment on 2015 roadmap
2. Clarity about what we want from the members
3. Clarity about division of labor between companies and community
4. Improved “Architecture of Participation”
5. Plan for outreach to potential partners/communities
ArduPilot Overview - Andrew Tridgell
PX4 Overview - Lorenz Meier
Drone related ELCConference Summary 23-25Mar2015
Ardupilot and Linux - presented at ELC - Andrew Tridgell
Qualcomm and PX4 -Mark Charlesbois
Edison Takes Flight - Joel B. Rosenzweig Mark F. Brown
Open Sourcing Humanitarian Airlift - Mark Jacobson and Jessie Mooberry
Flying Penguins - Clay McClure.pdf
Embedded Linux applications for autonomous UAVs
6. Application of Data Fusion to Aerial Robotics - Paul Riseborough
Unconference:
IMU Temperature Compensation - Hessel van der Molen
Temperature compensation goals
Calibration procedure
PX4 VTOL Vector Control - Roman Bapst
VTOL support in PX4 native
High-level overview of the benefits of the new controller (submitted to IROS 2015)
Current simulation capabilities
System identification and infrastructure (wind tunnels)
UAVCAN - Pavel Kirienko
PX4 ESC codebase
ESC developments and test state
Future convergence of the individual CAN node codebases
The onboard distributed system with all actuators and sensors on the same bus
Automated 3D SITL with 3D Physics - Thomas Gubler and Andreas Antener
Additional capabilities of the 3D physics simulator over standard flight simulators
Headless and interactive benefits
Logging and post-flight analysis
IMU experiments and filtering strategy - Jonathan Challinger
IMU sampling strategy
API for accessing raw samples from PX4 IMU sensor drivers
handling of delta angles and delta velocities
use of filtered and unfiltered data in EKF
IMU temperature calibration
libraries/AP_InertialSensor/examples/coning.py
EKF developments - Paul Riseborough
fusing of optical flow and rangefinder data
handling of GPS and non-GPS operation transition
handling of height above ground estimates
special cases for landing and takeoff
Ardupilot VTOL - Trevor Strand and Mike Remaly
Tiltrotor Fundamentals
Combining The Strengths of “ArduPilot”
Tiltrotor Challenges
Testing
Tiltrotor Road Map
Travis, Jenkins and Hans - Lorenz Meier
Travis unit testing and general CI
Jenkins automated SITL testing with environment / physics / simulated camera views
Hans - automated on-hardware testing
ROS and Gazebo - Tully Foote
ROS in general
ROS on drones
existing ROS use cases
DroneAPI Structure and Usage - Kevin Hester
structure of DroneAPI
language bindings
ROS vs DroneAPI - when to use them?
licensing of core components
future steps: stats, gcs df upload, px4 support, mavlink evolution
Comments
+1 @ Terrain Following.
Can I ask is this implementation being made for Droidplanner mission planning using Google Map Terrain data, or as in real-time sensors such as Optical Flow, Sonar, Lidar?
Whoops! Thanks for the catch. Fixed.
Minor suggestion - The first word of this article title should be "Dronecode"
Thanks for your share!
Are there any video recordings by any chance?