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CAAD: Computer Architecture for Autonomous Driving

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arxiv 1702.01894 v1 pith:RLLFKE5O submitted 2017-02-07 cs.AR cs.RO

Shaoshan Liu , Jie Tang , Zhe Zhang , Jean-Luc Gaudiot This is my paper · ORCID
classification cs.ARcs.RO
keywords autonomouscomputingdrivingneedsapproachesarchitecturecaadcomputer
verification ladder T0 review T1 audit T2 compute T3 formal

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We describe the computing tasks involved in autonomous driving, examine existing autonomous driving computing platform implementations. To enable autonomous driving, the computing stack needs to simultaneously provide high performance, low power consumption, and low thermal dissipation, at low cost. We discuss possible approaches to design computing platforms that will meet these needs.

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  1. Automation is no barrier to light vehicle electrification

    cs.CY 2019-08 conditional novelty 6.0 of 10

    Adding Level 4-5 automation to light-duty electric vehicles is estimated to reduce range by roughly 4-14% depending on sensors and drive cycle, with small effects on battery life, so automation need not block electrification.

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