Shenzhen Guo Dong Intelligent Drive Technologies Co., Ltd.

Shenzhen Antu Autonomous Driving Technologies Ltd.

Shenzhen Antu Autonmous Driving Technologies Ltd.

Jianxiong Xiao

Peng Liu

Janwei Pan

Yuhan Long

Chengbo Li

Zhuo Li

A control method for an autonomous driving vehicle is provided. The control method comprises steps of: determining whether trigger information is received; when the trigger information is received and the autonomous driving vehicle has been located at a predetermined location at current moment, obtaining an arrival time required for a predetermined target to reach the predetermined location, the predetermined location is a preset connection location; determining whether the arrival time is greater than a preset value; when the arrival time is greater than the preset value, controlling the autonomous driving vehicle to drive to a parking area; and when the arrival time is not greater than the preset value, controlling the autonomous driving vehicle to drive according to preset rules. Furthermore, a computer device is also provided.

Pickup and parking method for autonomous driving vehicle and computer device

A hybrid dispatch method for autonomous vehicles and manually-driven vehicles is provided and includes steps of: receiving travel information from a terminal, the travel information including a start position and an end position; matching manually-driven vehicle adapted to the travel information according to manually-driven vehicle matching rules; determining whether the travel information meets compliance rules for autonomous vehicles; matching autonomous vehicles adapted to the travel information according to autonomous vehicle matching rules when the travel information meets the compliance rules for autonomous vehicles; providing the matched manually-driven vehicles and the matched autonomous vehicles to the terminal for the user to select. Furthermore, a server and a storage medium are also provided.

Hybrid dispatch method and server for autonomous and manually-driven vehicles

A simulation test method for autonomous driving vehicle includes steps of: obtaining source data; constructing a simulation scene according to the source data; controlling a virtual vehicle to perform a simulation test in the simulation scene; detecting a virtual driving trajectory of the virtual vehicle at a predetermined time interval while performing the simulation test; calculating difference between a first position and a second position; adjusting perceptual information related to a coordinate of the first position as perceptual information related to a coordinate of the second position to obtain modified perceptual information when the difference exceeds a first preset value; controlling the virtual vehicle to perform the simulation test based on the modified perceptual information, and detecting the virtual driving trajectory of the virtual vehicle at the predetermined time interval again. Furthermore, a computer equipment and a medium are also provided.

Simulation test method for autonomous driving vehicle, computer equipment and medium

A sensing method for an autonomous driving vehicle includes steps of: obtaining an instruction; driving a center sensor assembly, or a center sensor assembly to sense corresponding areas to obtain first road condition data; judging whether a first occlusion area appears in the first road condition data; calculating a first safety area when a first occlusion area appears in the first road condition data; planning a first execution instruction; controlling the autonomous driving vehicle to motion in the first safety area; driving the at least one edge sensor assembly, or driving the at least one edge sensor assembly and the center sensor assembly to obtain second road condition data; judging whether a second occlusion area appears in the second road condition data; and planning a second execution instruction to control the autonomous driving vehicle to motion when a second occlusion area appears in the second road condition data.

Sensing method, intelligent control device and autonomous driving vehicle

A method for transmitting high bandwidth camera data through a SerDes links is provided. The method includes steps of: calculating transmission bandwidth required for transmitting image data, and the image data is obtained by a high bandwidth camera; determining a maximum bandwidth capacity of each SerDes link of a plurality of SerDes links; cutting the image data into a plurality of sub images according to the transmission bandwidth and the maximum bandwidth capacity of each SerDes link; assigning each sub image to a sub image transmission area in a corresponding SerDes link, and each SerDes link containing the sub image transmission area and the sub image reception area; acquiring a plurality of sub images transmitted in the plurality of the SerDes links from the corresponding sub image reception area; and splicing the plurality of sub images into the image data.

Method for transmitting high bandwidth camera data through SerDes links

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.

Method and system for recognizing traffic lights using a high-precision map

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.

Method for selecting parking location, intelligent control device and autonomous driving vehicle

An intelligent parking method of an autonomous driving vehicle is provided. The intelligent parking method includes steps of: recommending a first parking location according to an acquired target location; constructing an observation area according to the first parking location; obtaining environmental data of the observation area when the autonomous driving vehicle reaches the observation area; determining whether the first parking location is available or not according to the environmental data of the observation area; driving to the first parking location to park when the first parking location is available; or acquiring a second parking location according to a predetermined evaluation rule when the first parking location is unavailable, and recommending the one or more second parking locations to the user for selection; and driving to the second parking location selected by the user to park.

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Shenzhen, China

Jianxiong Xiao