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Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition
Authors:Keenan Burnett  Jingxing Qian  Xintong Du  Linqiao Liu  David J. Yoon  Tianchang Shen  Susan Sun  Sepehr Samavi  Michael J. Sorocky  Mollie Bianchi  Kaicheng Zhang  Arkady Arkhangorodsky  Quinlan Sykora  Shichen Lu  Yizhou Huang  Angela P. Schoellig  Timothy D. Barfoot
Abstract:The SAE AutoDrive Challenge is a 3‐year collegiate competition to develop a self‐driving car by 2020. The second year of the competition was held in June 2019 at MCity, a mock town built for self‐driving car testing at the University of Michigan. Teams were required to autonomously navigate a series of intersections while handling pedestrians, traffic lights, and traffic signs. Zeus is aUToronto's winning entry in the AutoDrive Challenge. This article describes the system design and development of Zeus as well as many of the lessons learned along the way. This includes details on the team's organizational structure, sensor suite, software components, and performance at the Year 2 competition. With a team of mostly undergraduates and minimal resources, aUToronto has made progress toward a functioning self‐driving vehicle, in just 2 years. This article may prove valuable to researchers looking to develop their own self‐driving platform.
Keywords:autonomous vehicle  autonomy system  computer vision  perception  self driving car
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