Huawei Technologies Co., Limited

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Apollo Intelligent Connectivity (beijing) Technology Co., Ltd.

Advanced Micro Devices Corporation

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology Co., Ltd.

Xing Hu

Jun Xu

Haisong Wang

Lei Fang

Yifeng Shi

Sheng Tao

Ji Tao

Zhiyun Chen

Huo Cao

Shihai Xiao

Jianlin Zhou

Kanwen Wang

Kun Wang

Wei Su

Tian Xia

Yi Xu

Chiwu Ding

Yang Cao

Zhuhua Zhang

Chuanzeng Liang

Kun Li

Bo Liu

Yu Hu

Min Yan

Wei Yang

Tao Cai

Yuan Xie

Yuangang Wang

Shiyi Cao

Shimin Zou

Xiaowei Li

Hongli Jiang

Teng Ma

Wei Ma

Jinrang Jia

Jialin Yang

Huiyu Zhou

Hanguo Li

Shuchang Shan

Juan Chen

Fen Dai

Xiaojun Shen

Xiaofei Rui

Yi Zhang

Zewen Bao

Liqi Wang

Siyang Liu

Shangyi Chen

The present application discloses a method, an apparatus for superimposing laser point clouds and a high-precision map and an electronic device, comprising: when superimposing the laser point clouds and the high-precision map for visualization, first performing dilution processing on non-road laser point clouds in the laser point clouds to be fused to obtain target non-road laser point clouds, which effectively reduces the amount of data of the laser point clouds to be fused; and performing segmentation processing on the map to be fused to obtain multi-level map data corresponding to the map to be fused, which effectively reduces the amount of data of the map to be fused. In this way, when superimposing the laser point clouds and the high-precision map for visualization, both non-road information may be visualized through the laser point clouds, and road information may be visualized through the high-precision map.

Method, apparatus for superimposing laser point clouds and high-precision map and electronic device

A driving control method, comprising: an external device on a vehicle () acquires perception information related to an environment () of the vehicle (), and the perception information comprising at least information related to objects present in the environment (); and according to the method, a driving-related messages for the vehicle () are generated based at least on the perception information, the driving-related messages comprising at least one of a perception message (), a decision planning message (), and a control message (). The method also comprises providing the driving-related messages to the vehicle () for driving control of the vehicle (). Thus, coordinated driving control is achieved by a roadside subsystem () of a remote device () and a vehicle-mounted subsystem () on the vehicle (). The achievement of the driving control function of the vehicle () with the assistance of an external device can realize effective and safe automatic driving. In addition, also provided are an apparatus, a device, a medium, and a system for implementing the control method.

Driving control method and apparatus, device, medium, and system

A method for positioning a vehicle, a vehicle and an electronic device are disclosed, which relate to a field of automatic driving and intelligent transportation. The method includes: obtaining a map related to a region, the region being a region where a positioning signal such as a GNSS signal is limited, such as a tunnel, the region including a plurality of positioning markers, and the map including positioning mark data corresponding to the plurality of positioning markers; capturing image data for the region when the vehicle travels through the region; and determining positioning information of the vehicle by matching the image data with the positioning mark data in the map based on an estimated posture of the vehicle. The map here may be a high-precision map.

Method and apparatus for positioning vehicle, electronic device, and storage medium

A method for acquiring a traffic state, an electronic device, a computer-readable storage medium, a roadside device and a cloud control platform are provided. An implementation of the method may include: acquiring monitoring data from at least one camera in a camera group, wherein the at least one camera is capable of shooting object moving states at different road sections or a same road section of a target intersection; determining, based on the monitoring data acquired from each camera in the at least one camera, a moving trajectory of a reference object recorded by the each camera in the at least one camera; then fusing moving trajectories of the reference object to obtain a completed trajectory; and finally predicting an indication state of a signal light on a corresponding road based on a travel direction of the corresponding road, the completed trajectory being located on the corresponding road.

Method for acquiring traffic state, relevant apparatus, roadside device and cloud control platform

Embodiments of the present disclosure provide a data transmission method, which meets a requirement for an Ethernet network with diversified rate levels. The method includes: grouping media access control (MAC) layer data into a plurality of MAC layer data groups; allocating, according to a bandwidth required by a target MAC layer data group and a reference bandwidth of a logical channel, at least one target logical channel to the target MAC layer data group; encoding the target MAC layer data group to generate target physical layer data, where the target logical channel corresponds to the target MAC layer data group and the target physical layer data; and sending the target physical layer data and first indication information, where the first indication information is used to indicate a relationship between the target physical layer data and the target logical channel.

Data transmission method and apparatus

A memory refresh method is applied to a computer system including a processor, a memory controller, and a dynamic random access memory (DRAM). The memory controller receives a first plurality of access requests from the processor. The memory controller refreshes a first rank in a plurality of ranks at shortened interval set to T/N when a quantity of target ranks to be accessed by the first plurality of access requests is less than a first threshold and a proportion of read requests in the first plurality of access requests or a proportion of write requests in the first plurality of access requests is greater than a second threshold. T is a standard average refresh interval, and N is greater than 1. The memory refresh technology provided in this application can improve performance of the computer system in a memory refresh process.

Memory refresh technology and computer system

The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.

Intelligent roadside unit

The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.

Intelligent roadside unit and control method thereof

A method and apparatus for jointly calibrating external parameters of multiple cameras. The method includes: determining an overlapped area of angles of view of cameras, and obtaining a 2D verification point set in an image of the overlapped area, the 2D verification point set including at least one verification point; performing external parameter calibration for each camera separately to obtain a current external parameter of the camera; calculating coordinates of a 3D point corresponding to each verification point in a world coordinate system using the current external parameter of each camera separately, and calculating a loss function based on the coordinates of the 3D point, the loss function being used to measure an overlay error of calibration of the cameras under the current external parameter; and performing joint calibration based on the loss function to obtain a target external parameter of each camera.

Method and apparatus for jointly calibrating external parameters of multiple cameras, device and medium

The present disclosure provides a data transmission method and a data transmission device for an intelligent driving vehicle, and a device. The method includes: acquiring data to be transmitted; encoding the data to be transmitted to generate encoded data; generating a check digit according to the data to be transmitted; adding the encoded data to a data packet, wherein a trailer of the data packet comprises the check digit; and transmitting the data packet.

Data transmission method and device for intelligent driving vehicle, and device

Provided are a communication system and a communication method of an autonomous vehicle. The system includes: a plurality of application modules, and an in-vehicle terminal. The in-vehicle terminal includes: an external communication module configured to communicate with another autonomous vehicle or a server in a message mode, and an internal communication module configured to communicate with the plurality of application modules in a service mode.

Communication system and method of autonomous vehicle and terminal device

Provided are a method for indicating at least one obstacle by a smart roadside unit, a system and a non-temporary computer-readable storage medium. The method includes: detecting the at least one obstacle via a radar to generate an obstacle set; acquiring status information reported by an autonomous vehicle; filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set; and sending a filtered obstacle set to the autonomous vehicle.

Method for indicating obstacle by smart roadside unit

Embodiments of the present disclosure provide a danger warning method for a vehicle, a danger warning device for a vehicle, and medium. The method includes: receiving a plurality of sensing data sets from a plurality of environmental monitoring devices that monitor a plurality of geographical ranges; determining a danger degree of respective object in the plurality of geographical ranges with respect to the vehicle based on the plurality of sensing data sets; and providing a danger warning instruction to the vehicle in response to determining that the danger degree is greater than a degree threshold. Each of the plurality of sensing data sets includes relevant information about objects in the corresponding geographical range, and the plurality of environmental monitoring devices are arranged away from the vehicle. The danger degree is configured to indicate a possibility that the object will endanger safe driving of the vehicle.

Danger warning method for vehicle, danger warning device for vehicle, and medium

Provided are system and method for controlling traffic lights. The system includes a traffic light device and a smart roadside device. The smart roadside device includes a roadside sensing module including: a camera assembly configured to collect information of an image for traffic lights of the traffic light device and a radar configured to acquire first surrounding environment information of a road junction monitored by the smart roadside device, and a roadside processing module configured to determine traffic flow information of a red light lane according to the first surrounding environment information and the information of the image for the traffic lights, determine a duration of a green light according to the traffic flow information, and control a duration displaying the green light in a next cycle of the traffic light device according to the duration of the green light.

System and method for controlling traffic lights

Embodiments of the present disclosure provide a method and a device for assisting in controlling automatic driving of a vehicle, a medium, and a system. The method for assisting in controlling automatic driving of a vehicle may include: acquiring sensing information related to environment collected by a sensor, the sensor being disposed in the environment and independent of the vehicle; determining an environment sensing result related to the environment by processing the acquired sensing information, the environment sensing result indicating relevant information about a plurality of objects including the vehicle in the environment; and providing the environment sensing result to a vehicle-side control device associated with the vehicle for assisting in controlling a driving behavior of the vehicle.

Method and device for assisting in controlling automatic driving of vehicle, and system

Growing community of inventors

Beijing, China

Xing Hu