Abstract: A generation method of high-precision map for recognizing traffic lights is provided. The generation method comprised steps of: obtaining road test data comprising video data of traffic lights; marking the video data in order to obtain marked data of the traffic lights, the marked data comprising states of the traffic lights and traffic lights information; using the video data and the marked data to generate a recognition model of the traffic lights; and storing the recognition model and the traffic lights information in a high-precision map to generate a high-precision map for recognizing the traffic lights. Furthermore, a method and system for recognizing traffic lights using high-precision map are also provided. The recognition model is stored in the high-precision map, and cooperating with the high-precision map to effectively recognize the traffic lights.

Abstract: A method for selecting parking location for an autonomous driving vehicle is provided. The method comprises steps of: obtaining a request of a user; constructing a first map according to a current location of the user, a first parking location, and a high-precision map; obtaining a second parking location selected by the user on the first map; controlling the autonomous driving vehicle to drive to the second parking location, and calculating distance between a current location of the autonomous driving vehicle and the second parking location; when the distance is less than a preset distance, constructing a second map according to the current location of the autonomous driving vehicle, the second parking location, and the high-precision map; controlling the autonomous driving vehicle to drive to the second parking location selected by the user on the second map. Furthermore, an intelligent control device and an autonomous driving vehicle are also provided.

Abstract: A method for selecting parking location for an autonomous driving vehicle is provided. The method comprises steps of: obtaining a request of a user; constructing a first map according to a current location of the user, a first parking location, and a high-precision map; obtaining a second parking location selected by the user on the first map; controlling the autonomous driving vehicle to drive to the second parking location, and calculating distance between a current location of the autonomous driving vehicle and the second parking location; when the distance is less than a preset distance, constructing a second map according to the current location of the autonomous driving vehicle, the second parking location, and the high-precision map; controlling the autonomous driving vehicle to drive to the second parking location selected by the user on the second map. Furthermore, an intelligent control device and an autonomous driving vehicle are also provided.

Abstract: An autonomous driving prediction method based on big data, wherein the autonomous driving prediction method based on big data includes steps of: providing a plurality of prediction algorithm models associated with a target road; obtaining sensing data of sensors, the sensing data including a current position of the autonomous driving vehicle, surrounding environment data of the autonomous driving vehicle, and, driving data of the autonomous driving vehicle; obtaining current scene data of the autonomous driving vehicle; loading the optimal prediction algorithm model; calculating current scene data of the autonomous driving vehicle by the optimal prediction algorithm model to obtain prediction data; generating a control command based on the prediction data; and controlling the autonomous driving vehicle to drive according to the control command.

Abstract: A method for preventing fogging is provided.

Abstract: An autonomous driving method based on prior knowledge of high-precision maps is provided. The autonomous driving method includes steps of: acquiring a current location of the autonomous driving vehicle; acquiring a prior-knowledge set associated with the current location from a high-precision map; acquiring sensing information by one or more sensing devices; acquiring one or more pieces of the prior-knowledge associated with the sensing information from the prior-knowledge set; calculating a control instruction according to one or more pieces of the prior-knowledge; controlling the autonomous driving vehicle driving according to the control command. Furthermore, an intelligent control device and an autonomous driving device are also provided.