METHOD AND SYSTEM FOR PERSONALIZED DRIVING LANE PLANNING IN AUTONOMOUS DRIVING VEHICLES

The present teaching relates to method, system, medium, and implementation of lane planning in an autonomous vehicle. Sensor data are received that capture ground images of a road the autonomous vehicle is on. Based on the sensor data, a current lane of the road that autonomous vehicle is currently occupying is detected. Information indicating presence of a passenger in the vehicle is obtained andused to retrieve a personalized lane control model related to the passenger. Lane control for the autonomous vehicle is planned based on the detected current lane and self-aware capability parametersin accordance with the personalized lane control model. The self-aware capability parameters are used to predict operational capability of the autonomous vehicle with respect to a current location ofthe autonomous vehicle. The personalized lane control model is generated based on recorded human driving data. 本示教涉及用于自动车辆的车道规划的方法、系统、介质和实施方式。接收传感器数据，该数据捕获自动车辆所位于的道路的地面图像。基于传感器数据，检测自动车辆当前占据的道路的当前车道。获得指示乘员在自动车辆内存在的信息，且该信息被用于取得与