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F1/10 - Autonomous Racing

Lehrstuhl: Institute of Informatik 12

Betreuer: Kuan-Hsun Chen, Junjie Shi,

Beginn ab: 11.10.2018

Maximale Anzahl der Teilnehmer: 8

Beschreibung: Tracing back the history of autonomous cars, experiments for autonomous (self-driving) cars have been conducted since at least the 1920s. This vision has gradually become reality and is subject to serious world-wide business interest. Along with the technical maturation of electric cars, autonomous and electric cars are getting increasingly market-ready. Towards this trend, using 1/10th-scale miniature RC race cars (RC-car), e.g., the Traxxas F1 type platform, with augmented sensors and computing hardware as a platform to demonstrate autonomous driving and SLAM (Simultaneous Localization and Mapping) concepts have started to emerge recently in graduate-level researches and courses.

The main idea of this project is to spark the student's interests towards autonomous robotics and real-time systems as well as the founding of a competitive F1/10 Autonomous Racing team from TU Dortmund to participate in the international F1/10 Autonomous Racing Competition in the following year.

In this project, we follow the recommendations of the F1/10 Autonomous Racing Competition to provide all the necessary components, e.g., competitive Traxxas F1 type platforms, sensors, racing tracks and an experimental environment. Based on this, students have to design, build and test their autonomous navigation strategy on a 1/10th-scale mini race car. Moreover, students will learn to use the robot operating system (ROS), integrate various sensors (IMU, Cameras, LIDAR) on an embedded computer (Nvidia Jetson TX2) and implement their own algorithms for localization, mapping, path planning, and control. At the end of this project, there will be a competition to determine the best team in TU Dortmund in a "Time Trials" competition with the Department of Infomatics.

We provide some checkpoints and guidelines to help the students get started. Here are the specific tasks including:
-Demonstrate navigation strategies via the Gazebo-based simulator provided by F1/10 organization.
-Make the car drive autonomously over the whole lap without any manual control.
-Participate in the final competition with proposed algorithms.
-Further design algorithms for aggressive maneuvering, high-speed path planning, and overtaking strategies.

Students are expected to have intermediate knowledge in programming, basic knowledge in statistics and probability, basic knowledge in Linux. Programming experience in Matlab, ROS, or C++ is helpful