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

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

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology Co., Ltd.

Yifeng Shi

Xing Hu

Haisong Wang

Lei Fang

Ji Tao

Sheng Tao

Huo Cao

Tian Xia

Jinrang Jia

Zeshu Shen

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

Provided is a smart roadside unit, including a light intensity sensor configured to generate current light intensity information; a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image; and a controller configured to turn on the high-bright camera assembly to shoot when the current light intensity is greater than a first light intensity threshold, turn on the low-bright camera assembly to shoot when the current light intensity is less than a second light intensity threshold, and extract vehicle information from the high-bright image or the low-bright image, in which the second light intensity threshold is smaller than the first light intensity threshold.

Smart roadside unit and method for processing information by smart roadside unit

Provided are a vehicle positioning method, an apparatus and a device. The method includes: sending an auxiliary positioning request to an auxiliary positioning device within a preset distance range; receiving an auxiliary positioning message returned by the auxiliary positioning device with respect to the auxiliary positioning request, where the auxiliary positioning message carries location information of the auxiliary positioning device; and determining a current location of a current vehicle according to the location information of the auxiliary positioning device and distance information between the current vehicle and the auxiliary positioning device. The method of the present disclosure can implement vehicle positioning without a satellite positioning signal. The vehicle positioning can be performed when the vehicle is blocked by an obstacle such as a tunnel, a building and the satellite positioning signal cannot be received, improving the accuracy of the vehicle positioning.

Vehicle positioning method, apparatus and device

The present disclosure proposes a method, an apparatus, a device, and a medium for calibrating an intelligent roadside unit. The method includes: obtaining an intelligent driving vehicle within a preset range of the intelligent roadside unit; obtaining a first point cloud detected by a first radar in the intelligent driving vehicle, and obtaining location information of the intelligent driving vehicle; obtaining a second point cloud detected by a second radar in the intelligent roadside unit; and obtaining location information of the second radar based on the first point cloud, the second point cloud, and the location information of the intelligent driving vehicle.

Growing community of inventors

Beijing, China

Yifeng Shi