Drones
Contents
- 1 Drones
- 1.1 Linux and Dronecode development [ELC 2016]
- 1.2 Drone Simulation with Gazebo [ELC 2016]
- 1.3 Science Standardised Embedded Data Infrastructure for Drones (SSEDD) [ELC 2016]
- 1.4 Hacking a Commercial Drone to Run an Open Source Autopilot - APM on Parrot Bebop [ELC 2016]
- 1.5 Developing a Standard Interface for Drones [ELC 2016]
- 1.6 Tutorial: Building a Drone, From Scratch [ELCE 2016]
- 1.7 Drones Still Going Open Source [ELCE 2016]
- 1.8 BoFs: Dronecode Project [ELC 2015]
- 1.9 DroneAPI: A Tutorial on Drone Control [ELC 2015]
- 1.10 Dronecode Project and Autopilot With Linux [ELC 2015]
- 1.11 Using Intel Edison to Fuse Embedded Linux With Existing Drone Flight Controllers [ELC 2015]
- 1.12 Autonomous Navigation for an OMAP4 Nano-Drone [ELC 2015]
- 1.13 Linux - The Future For Drones [ELCE 2015]
- 1.14 Improving Drone Flight Safety Through Machine Learning [ELCE 2015]
Drones
Linux and Dronecode development [ELC 2016]
Presenter: Lucas De Marchi, Intel
Summary:
This presentation provides information about Dronecode,
Ardupilot, and Linux and the future of drones.
Drone Simulation with Gazebo [ELC 2016]
Presenter: Nicolas Carrier, Parrot
Summary:
This presentation provides information about drone architecture
the problem, overview, features, and limitations.
Science Standardised Embedded Data Infrastructure for Drones (SSEDD) [ELC 2016]
Presenter: Jane Wyngaard, Jet Propulsion Laboratory
Summary:
This presentation provides information about ROS for senor
streams and MongoDB for real-time data triage.
Hacking a Commercial Drone to Run an Open Source Autopilot - APM on Parrot Bebop [ELC 2016]
Presenter: Julien Beraud
Summary:
this presentation provides information about the process of
porting APM on a commercial drone and shows how to run it on a Bebop.
Developing a Standard Interface for Drones [ELC 2016]
Presenter: Tully Foote, Open Source Robotics Foundation
Summary:
This presentation provides information about designing standard interfaces
using indoor robotics, autonomous cars, and an overview of the drone community.
Tutorial: Building a Drone, From Scratch [ELCE 2016]
Presenter: Igor Stoppa, Open Source Technology Center, Intel
Summary:
This presentation provides information about drone building of defining requirements,
sketching an architecture, choosing hardware and software components.
Drones Still Going Open Source [ELCE 2016]
Presenter: Julien Beraud, Parrot
Summary:
This presentation provides information about enable video streaming
and recording with a firmware based on ArduPilot as a flight stack and
new open source projects around parrot drones.
BoFs: Dronecode Project [ELC 2015]
Presenter: Andrew Tridgell & Lorenz Meier
Summary:
This presentation provides information about sensor development,
Core algorithms, and community interfaces.
DroneAPI: A Tutorial on Drone Control [ELC 2015]
Presenter: Kevin Hester, 3DRobotics
Summary:
This presentation provides information drone API overview and installation of the SDK.
Dronecode Project and Autopilot With Linux [ELC 2015]
Presenter: Andrew Tridgell, Technical Steering Committee Chair of Dronecode Project
Summary:
This presentation provides information about the DiyDrones
Community and AP_HAL for Hardware Abstraction.
Using Intel Edison to Fuse Embedded Linux With Existing Drone Flight Controllers [ELC 2015]
Presenter: Mark F. Brown, Intel & Joel Rosenzweig, Intel
Summary:
This presentation provides information about high-level flight controller
hardware and software stack high-level flight controller.
Presenter: Grégoire Gentil, Always Innovating
Summary:
This presentation provides information about the DiyDrones Community
and AP_HAL for Hardware Abstraction.
Linux - The Future For Drones [ELCE 2015]
Presenter: Lucas De Marchi, Intel
Summary:
This presentation provides information about dronecode ,
hardware evolution and Software evolution.
Improving Drone Flight Safety Through Machine Learning [ELCE 2015]
Presenter: Jonathan Pelham, IVHM Centre, Cranfield University
Summary:
This presentation provides information about RPAS AIS structure
and feature space with AIS.