Beijing Smarter Eye Technology Co. Ltd.

Shenzhen Pengcheng Electric Group Co., Ltd

Shenzhen Talent Database Data Technology Co., Ltd

Shanshan Pei

Zhao Sun

Yongcai Liu

Jian Li

Li Li Ma

Hua Chai

Ran Meng

Feng Cui

Haitao Zhu

Bin Chen

Xinliang Wang

Wentao Lin

Shuhong Wu

Yuzhi Lin

Zhiwei He

The topographic environment detection method and a topographic environment detection system based on a binocular stereo camera, and an intelligent terminal are provided. The topographic environment detection method includes: obtaining a left-eye image and a right-eye image about a same road scenario, and processing the left-eye image and the right-eye image to obtain a dense disparity map of the road scenario; converting image information in a detection region into 3D point cloud information in a world coordinate system in accordance with the dense disparity map; fitting a road surface model in accordance with the 3D point cloud information; inputting an image in the detection region into a trained semantic segmentation model, and obtaining a segmentation result from the semantic segmentation model; and obtaining topographic information about the detection region in accordance with the segmentation result, and transmitting the topographic information to a vehicle assistant driving system.

Topographic environment detection method and system based on binocular stereo camera, and intelligent terminal

The present disclosure provides a method for distance measurement based on a binocular camera, a system for distance measurement based on a binocular camera, a device and a computer-readable storage medium. The method includes: taking N images of a distance measurement marker placed at each of Z positions in a depth direction of the binocular camera; calculating an average disparity of the distance measurement marker at the middle position, the left side position and the right side position at each of the Z positions; calculating a distance measurement value at each of the Z positions in the depth direction; calculating a distance measurement error value at the middle position, the left side position and the right side position at each of the Z positions, and acquiring a total error cost function; and calculating extrinsic parameters, so as to acquire a distance measurement result in the depth direction.

Method and system for distance measurement based on binocular camera, device and computer-readable storage medium

The present disclosure provides a method for calibrating a binocular camera, including: Sof extracting feature points from an image set 1 and an image set 2 taken at two points separated from each other by a predetermined distance; Sof fitting Gaussian distribution parameters of each feature point, and extracting a desired value as a theoretical disparity; Sof selecting a common feature point, and calculating the predetermined quantity of frames at a first theoretical distance and the predetermined quantity of frames at a second theoretical distance; Sof performing Gaussian fitting on a difference between the theoretical distances of the common feature point, and extracting a variance as an evaluation index; Sof determining whether the evaluation index is smaller than a threshold, if yes, terminating the calibration, and otherwise, proceeding to S; and Sof adjusting posture parameters of the binocular camera, and returning to S

Method and device for calibrating binocular camera

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Beijing, China

Shanshan Pei