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SYSTEM AND METHOD FOR OPTIMIZING AUTONOMOUS VEHICLE CAPABILITIES IN ROUTE PLANNING

机译:路线规划中优化自主车辆能力的系统和方法

摘要

Systems and methods described herein determine an optimal lane trajectory and route for an autonomous vehicle under changing road conditions and forecast autonomous car performance along a route. A road's profile is analyzed to determine a safe lateral lane position. In ice or snow, a vehicle may follow ruts made by previous vehicles, even if following such ruts does not place a vehicle in a lane's center. In warmer weather, a vehicle may drive outside the ruts to avoid risks of aquaplaning. Dynamic road conditions and AV support along a route are used to maximize AV use and to forecast AV performance. A vehicle control system calculates sensor limitations and uses these sensor limitations when calculating which route to select.
机译:本文描述的系统和方法在变化的道路条件下确定自动驾驶车辆的最佳车道轨迹和路线,并预测沿着路线的自动驾驶汽车性能。分析道路轮廓以确定安全的横向车道位置。在冰天雪地中,车辆可能会遵循先前车辆的车辙,即使遵循此类车辙不会将车辆置于车道中心。在温暖的天气下,车辆可能会驶入车辙外,以避免滑水的风险。沿路的动态路况和AV支持可用于最大化AV使用并预测AV性能。车辆控制系统计算传感器限制,并在计算选择哪个路线时使用这些传感器限制。

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