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Creators/Authors contains: "Karthik, Dhruv"

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  1. ; ; ; (, Proceedings of Machine Learning Research)
    Escalante, Hugo Jair; Hadsell, Raia (Ed.)
    The deployment and evaluation of learning algorithms on autonomous vehicles (AV) is expensive, slow, and potentially unsafe. This paper details the F1TENTH autonomous racing platform, an open-source evaluation framework for training, testing, and evaluating autonomous systems. With 1/10th-scale low-cost hardware and multiple virtual environments, F1TENTH enables safe and rapid experimentation of AV algorithms even in laboratory research settings. We present three benchmark tasks and baselines in the set- ting of autonomous racing, demonstrating the flexibility and features of our evaluation environment. 
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    Accepted Manuscript Full Text Available