A Testbed for Autonomous Racecar Control Strategies
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2015
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Swarthmore College. Dept. of Engineering
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Thesis (B.A.)
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en_US
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
The concept of a 'racing line' is an integral part of competitive racecar driving. While many drivers develop a sense for this optimal path around a racecourse intuitively, the physics governing basic vehicle dynamics around a path are fairly readily available. Naturally, this line is of great interest in racing game AI's and autonomous vehicle control, and a variety of strategies exist for developing a control algorithm that enables vehicles to closely follow this path. We modified a scale-model testbed consisting of a remote control vehicle, a networking system, and a computer backend enabling it to be controlled programmatically. The system can then be compared to and developed using a simplified model.