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

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

Jinrang Jia

Bo Liu

Xing Hu

Yifeng Shi

Guangqi Yi

Libin Yuan

A method for detecting an obstacle, an electronic device, a roadside device and a cloud control platform are provided and relates to the fields of automatic drive and intelligent traffic. The method includes acquiring a current image, wherein the current image includes an obstacle object representing an obstacle located on a predetermined plane; determining a transformation parameter between the current image and a template image based on current coordinates of a plurality of reference points on the predetermined plane in the current image and template coordinates of corresponding reference points for the plurality of reference points in the template image; and determining a position of the obstacle in a world coordinate system utilizing the transformation parameter and pixel coordinates of the obstacle object in the current image.

Detecting obstacle

The present application discloses a method for acquiring three-dimensional perception information based on external parameters of a roadside camera, and a roadside device. The specific implementation solution is as follows: acquiring a first matching point pair between an image captured by the first camera and an image captured by the second camera, and generating a first rotation matrix, where the first rotation matrix represents a rotation matrix of the first camera in a second camera coordinate system; generating a third rotation matrix according to the first rotation matrix and the second rotation matrix, where the second rotation matrix represents a rotation matrix of the second camera in a world coordinate system, and the third rotation matrix represents a rotation matrix of the first camera in the world coordinate system; generating three-dimensional perception information of the image captured by the first camera according to the third rotation matrix.

Method for acquiring three-dimensional perception information based on external parameters of roadside camera, and roadside device

A method and an apparatus for stabilizing an image, a roadside device, and a cloud control platform are provided. The method may include: calculating, for a current image in an image sequence, a first offset between each image stabilization box of the current image and a corresponding image stabilization box of a template image; adding a first offset meeting a first preset condition to an observation list of a corresponding image stabilization box of the template image until there is an observation list meeting a second preset condition; and determining a position of the signal light of the current image, based on a first offset in an observation list of at least one image stabilization box and a position of the signal light of the template image.

Method and apparatus for stabilizing image, roadside device and cloud control platform

The present application discloses a method and an apparatus of obstacle three-dimensional position acquisition for a roadside computing device, and relates to the fields of intelligent transportation, cooperative vehicle infrastructure, and autonomous driving. The method may include: acquiring pixel coordinates of an obstacle in a to-be-processed image; determining coordinates of a bottom surface center point of the obstacle according to the pixel coordinates; acquiring a homography relationship between a ground surface corresponding to the to-be-processed image and a ground surface corresponding to a template image; transforming the coordinates of the bottom surface center point of the obstacle into coordinates on the template image according to the homography relationship; and determining three-dimensional coordinates of the bottom surface center point of the obstacle according to the coordinates obtained by transformation and a ground equation corresponding to the template image. By use of the solution of the present application, implementation costs can be saved, and the accuracy is better.

Obstacle three-dimensional position acquisition method and apparatus for roadside computing device

The present disclosure discloses a method and apparatus for detecting an obstacle, and relates to the technical field of intelligent transportation. A specific implementation plan is: acquiring a current image acquired by a camera; inputting the current image into a pre-trained detection model to obtain a position of a detection frame of an obstacle and determine a first pixel coordinate of a grounding point in the current image; determining an offset between the current image and a template image; converting the first pixel coordinate into a world coordinate of the grounding point based on the offset; and outputting the world coordinate of the grounding point as a position of the obstacle in a world coordinate system. This embodiment solves the problem of camera jitter from an image perspective, greatly improves the robustness of the roadside perception system, and saves computing resources.

Method and apparatus for detecting obstacle

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.

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Beijing, China

Jinrang Jia