Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card
2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS)(2022)
摘要
In the past few years we have developed hardware computing systems for commercial autonomous vehicles, but inevitably the high development cost and long turn-around time have been major roadblocks for commercial deployment. Hence we also explored the potential of software optimization. This paper, for the first-time, shows that it is feasible to enable full leve1-4 autonomous driving workloads on a single off-the-shelf card (Jetson AGX Xavier) for less than ${\$}1\mathrm{k}$, an order of magnitude less than the state-of-the-art systems, while meeting all the requirements of latency. The success comes from the resolution of some important issues shared by existing practices through a series of measures and innovations.
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关键词
hardware computing systems,commercial autonomous vehicles,software optimization,Jetson AGX Xavier,level-4 autonomous driving,single $1k off-the-shelf card
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