@INPROCEEDINGS{burnett-icra19,
 author = {Keenan Burnett and Andreas Schimpe and Sepehr Samavi and Mona Gridseth and Chengzhi Winston Liu and Qiyang Li and Zachary Kroeze and Angela P. Schoellig},
 title = {Building a Winning Self-Driving Car in Six Months},
 booktitle = {{Proc. of the IEEE International Conference on Robotics and Automation (ICRA)}},
 year = {2019},
 pages = {9583--9589},
 urlvideo = {http://tiny.cc/zeus-y1},
 urllink = {https://arxiv.org/abs/1811.01273},
 abstract = {The SAE AutoDrive Challenge is a three-year competition to develop a Level 4 autonomous vehicle by 2020. The first set of challenges were held in April of 2018 in Yuma, Arizona. Our team (aUToronto/Zeus) placed first. In this paper, we describe our complete system architecture and specialized algorithms that enabled us to win. We show that it is possible to develop a vehicle with basic autonomy features in just six months relying on simple, robust algorithms. We do not make use of a prior map. Instead, we have developed a multi-sensor visual localization solution. All of our algorithms run in real-time using CPUs only. We also highlight the closed-loop performance of our system in detail in several experiments.},
}

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