随时感知和控制的硬件优化

N. NischalK., Paritosh Kelkar, D. Kumar, Y. Pant, Houssam Abbas, Joseph Devietti, R. Mangharam
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引用次数: 1

摘要

自动驾驶汽车有望给社会带来巨大的好处,从降低事故率到提高老年人的流动性。自动驾驶汽车设计面临的最大挑战来自其运行环境的不确定性。它们的控制算法必须能够处理发生在大范围时间尺度上的驾驶事件。例如,放松的乡村驾驶可以适应每隔几秒的计划行动,而迫在眉睫的碰撞避免需要几毫秒的计划和驱动。因此,“实时”性能将根据上下文暗示不同的东西。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware Optimizations for Anytime Perception and Control
Autonomous vehicles promise significant benefits to society, from reduced accident rates to greater mobility for the elderly. The biggest challenge in the design of autonomous vehicles comes from the uncertainty of the environment in which they will operate. Their control algorithms must be able to cope with driving events that occur on widely ranging time scales. For example, relaxed rural driving can accommodate planning actions every few seconds, while imminent collision avoidance requires planning and actuation on the order of a few milliseconds. Thus 'real-time' performance will imply different things depending on the context.
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