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)

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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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