Autonomous Quadrotor Navigation & Obstacle Avoidance Using Kine 🚁
Discover how the STARMAC Project at UC Berkeley's Hybrid Systems Lab enables quadrotors to fly autonomously and avoid obstacles seamlessly. Explore cutting-edge techniques in drone navigation and safety.
About this video
This work is part of the STARMAC Project in the Hybrid Systems Lab at UC Berkeley (EECS department). http://hybrid.eecs.berkeley.edu/
Our lab's Ascending Technologies [1] Pelican quadrotor, flying autonomously and avoiding obstacles.
The attached Microsoft Kinect [2] delivers a point cloud to the onboard computer via the ROS [3] kinect driver, which uses the OpenKinect/Freenect [4] project's driver for hardware access. A sample consensus algorithm [5] fits a planar model to the points on the floor, and this planar model is fed into the controller as the sensed altitude. All processing is done on the on-board 1.6 GHz Intel Atom based computer, running Linux (Ubuntu 10.04).
Our lab's Ascending Technologies [1] Pelican quadrotor, flying autonomously and avoiding obstacles.
The attached Microsoft Kinect [2] delivers a point cloud to the onboard computer via the ROS [3] kinect driver, which uses the OpenKinect/Freenect [4] project's driver for hardware access. A sample consensus algorithm [5] fits a planar model to the points on the floor, and this planar model is fed into the controller as the sensed altitude. All processing is done on the on-board 1.6 GHz Intel Atom based computer, running Linux (Ubuntu 10.04).
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Published
Dec 10, 2010
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