Detecting blocking stationary vehicles

The present invention relates to a method and system of determining whether a stationary vehicle is a blocking vehicle to improve control of an autonomous vehicle. A perception engine may detect the stationary vehicle in an environment of the autonomous vehicle from sensor data received by the autonomous vehicle. Responsive to this detection, the perception engine may determine feature values of the environment of the vehicle from sensor data (e.g., features of the stationary vehicle, other object(s), the environment itself). The autonomous vehicle may input these feature values into a machine-learning model to determine a probability that the stationary vehicle is a blocking vehicle and use the probability to generate a trajectory to control motion of the autonomous vehicle. 一种确定静止车辆是否为阻塞车辆以改善对自动驾驶车辆的控制的方法和系统。感知引擎可以由从自动驾驶车辆接收的传感器数据检测自动驾驶车辆的环境中的静止车辆。响应于该检测，感知引擎可以根据传感器数据确定车辆环境的特征值(例如，静止车辆的特征，其他物体，环境本身)。自动驾驶车辆可以将这些特征值输入到机器学习模型中，以确定静止车辆是阻塞车辆的概率，并使用该概率生成轨迹来控制自动驾驶车辆的运动。