ROSCon 2017: Autonomous Racing Car for Formula Student Driverless -- Juraj Kabzan (ETH Zürich, AMZ)

Looking foward to ROSCon 2018 we're highlighting presentations from last year. The ROSCon 2018 registration is currently open.

Continuing the afternoon session Juraj Kabzan continues the theme of cars and brings it to Formula Student Driverless racing.



As AMZ Racing Driverless, we're competing in the first Formula Student Driverless competition with «flüela», an electric 4WD car with high wheel torque and a lightweight design (0-100km/h in 1.9s), developed by our team in 2015. To race autonomously, the car has been extended with a LiDAR, a self-developed stereo visual-inertial system, an IMU, a GPS and a velocity sensor. We chose to use ROS Indigo on our Master Slave computing system, as it provided a robust, flexible framework to interface the different components of our Autonomous System. Furthermore we made extensive use of its logging capabilities and powerful visualization and simulation tools.


View the slides here

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This page contains a single entry by Tully Foote published on July 6, 2018 12:05 PM.

ROSCon 2017: Building a Computer Vision Research Vehicle with ROS -- Andreas Fregin was the previous entry in this blog.

ROSCon 2017: How to select a 3D sensor technology -- Chris Osterwood (Carnegie Robotics) is the next entry in this blog.

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