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Enabling Level-4 Autonomous Driving on a Single 1k Off-the-Shelf Card

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arxiv 2110.06373 v1 pith:UQ2GTY25 submitted 2021-10-12 cs.RO cs.AIcs.LGcs.SYeess.SY

Enabling Level-4 Autonomous Driving on a Single 1k Off-the-Shelf Card

classification cs.RO cs.AIcs.LGcs.SYeess.SY
keywords autonomousdrivinglevel-4cardcostindustrylessoff-the-shelf
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Autonomous driving is of great interest in both research and industry. The high cost has been one of the major roadblocks that slow down the development and adoption of autonomous driving in practice. This paper, for the first-time, shows that it is possible to run level-4 (i.e., fully autonomous driving) software on a single off-the-shelf card (Jetson AGX Xavier) for less than $1k, 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. The study overturns the common perceptions of the computing resources required by level-4 autonomous driving, points out a promising path for the industry to lower the cost, and suggests a number of research opportunities for rethinking the architecture, software design, and optimizations of autonomous driving.

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