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Infrastructure Enabled Autonomy—Autonomy as a Service

In: Autonomous Vehicles

Author

Listed:
  • Swaminathan Gopalswamy

    (Texas A&M University)

Abstract

Multiple studies have established the potential for significant societal, environmental and economic benefits from autonomous vehicles. However, all the current approaches to autonomous driving require the automotive manufacturersManufacturer to shoulder the primary responsibility and liability associated with replacing human perception and decision making with automation, slowing the penetration of autonomous vehicles, and consequently slowing the realization of the benefits of autonomous vehicles. We propose a new approach to autonomous driving that will re-balance the responsibility and liabilities associated with autonomous driving between traditional automotive manufacturers, private infrastructure players, and third-party players. The proposed distributed intelligence architecture leverages recent advances in connectivityConnectivityand edge computingEdge computing. The resulting Infrastructure Enabled AutonomyInfrastructure enabled autonomy (IEA) (IEA) leads to the new business model of “autonomy as a service”.

Suggested Citation

  • Swaminathan Gopalswamy, 2021. "Infrastructure Enabled Autonomy—Autonomy as a Service," Perspectives in Law, Business and Innovation, in: Steven Van Uytsel & Danilo Vasconcellos Vargas (ed.), Autonomous Vehicles, edition 1, pages 165-184, Springer.
    • Handle: RePEc:spr:perchp:978-981-15-9255-3_8
    DOI: 10.1007/978-981-15-9255-3_8
    as

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