Is There a Need for Remote Control for Autonomous Vehicles?

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By James Hodgson | 3Q 2018 | IN-5222


An Exceptional Measure for Exceptional Circumstances


Original Equipment Manufacturers (OEMs) are implementing ambitious deadlines for highly automated driving in the next three to four years. Much of the focus of automotive technology development has turned to addressing implementation pain points such as consumer adoption and maintenance rather than the core fundamentals. Indeed, the core-enabling technologies for autonomous driving are well established, with broad consensus on the need for multiple diverse sensors, high-compute platforms, high-bandwidth/low-latency networking, and artificial intelligence.

A relatively recent innovation for the automotive industry is the use of simulation to self-certify that an autonomous system is robust through targeted testing and training of neural networks. Nevertheless, it is broadly accepted that autonomous vehicles will not be able to navigate every situation they encounter—certainly not during the early years of adoption.

To satisfy functional safety requirements, autonomous system developers can specify last-resort, minimum-risk maneuvers wh…

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