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Method and apparatus for optimized resource allocation during autonomous driving based on reinforcement learning using data from lidar, radar and camera sensors

机译:基于增强型学习的自动驾驶过程中优化资源分配的方法和装置,该学习使用来自激光雷达,雷达和相机传感器的数据

摘要

PROBLEM TO BE SOLVED: To reduce power consumption of an autonomous vehicle by efficiently allocating resources during autonomous traveling by reinforcement learning. In a method for efficiently allocating resources during autonomous traveling by reinforcement learning, (a) a computing device obtains at least one attention sensor data and calculates one or more attention scores. And (b) the computing device obtains at least one video data and generates at least one determination data for autonomous driving, (c) the computing device has a drive network, and refers to the determination data. And driving the autonomous vehicle to acquire at least one situation data indicating a change in the surrounding situation, (d) the computing device at least one of the one or more parameters used for the neural network operation. Partly adjusting. [Selection diagram] Figure 1
机译:要解决的问题:通过强化学习有效地分配自动驾驶期间的资源,以减少自动驾驶汽车的功耗。在用于通过强化学习在自主行驶期间有效地分配资源的方法中,(a)计算设备获得至少一个注意力传感器数据并计算一个或多个注意力得分。并且(b)计算设备获得至少一个视频数据并生成至少一个确定数据以用于自动驾驶,(c)计算设备具有驱动网络,并参考确定数据。并且驾驶自动驾驶车辆以获取指示周围状况变化的至少一个状况数据,(d)计算设备用于神经网络操作的一个或多个参数中的至少一个。部分调整。 [选型图]图1

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