Beijing Smarter Eye Technology Co. Ltd.

Shenzhen Pengcheng Electric Group Co., Ltd

Shenzhen Talent Database Data Technology Co., Ltd

Zhipeng Xiao

Hua Chai

Ran Meng

Haifeng Lai

Jian Li

Zhe Wang

Ya Qiong Liu

Feng Cui

Bin Chen

Zunying Pang

Xinliang Wang

Jixia Du

Ruibin Lin

Jun Liao

Huosheng Xu

A real-time ground fusion system is based on binocular stereo vision and an intelligent terminal. The method for accomplish real-time ground fusion includes: S1 of obtaining a disparity map about a same road scenario, and converting a disparity map in a target region into a 3D point cloud; S2 of performing pose conversion on a current frame and a next frame adjacent to the current frame, and performing inverse conversion on a 3D point cloud of the current frame; and S3 of repeating S2 with each frame in the target region as the current frame, so as to achieve ground fusion. Through the conversion and fusion of adjacent frames, holes caused by the projection of the disparity map can be filled to assist driving and output accurate height data, thereby improving comfortableness.

Real-time ground fusion method and system based on binocular stereo vision, and intelligent terminal

A method and a system for detecting a long-distance target through a binocular camera, and an intelligent terminal are provided. The method includes the steps of: acquiring original images generated by the binocular camera at a target region, acquiring a disparity map in accordance with the original images, and converting the disparity map into a space information point cloud map; partitioning a predetermined target detection range into a plurality of sub-ranges in accordance with the space information point cloud map, and acquiring a disparity threshold segmentation image for each sub-range; calculating an integral image in accordance with each disparity threshold segmentation image, and acquiring a heatmap of an obstacle in accordance with the integral images; and reversely mapping a maximum matching region in the heatmap to the original image, so as to acquire a target ROI for the obstacle, thereby to acquire a position of the obstacle.

Method and system for detecting long-distance target through binocular camera, and intelligent terminal

The present disclosure provides a method and a device for detecting a height-limiting rod, and an automatic driving system, for use in a binocular stereo camera. The method includes: filtering out invalid points in a disparity map corresponding to a target image in accordance with a predetermined detection range, so as to acquire a valid point disparity map; projecting the valid point disparity map along an X-axis direction in a three-dimensional coordinate system onto a plane where a Y axis and a Z axis are located, and counting the quantity of valid points for each row of pixels with respect to each disparity value, so as to acquire a projection image; filtering out invalid projection points and invalid blobs in the projection image, so as to acquire a valid blob image; and back-projecting the valid blob image to the three-dimensional coordinate system, and determining a rectangular region where the height-limiting rod is located in accordance with X-axis, Y-axis and Z-axis coordinate values.

Method and device for detecting height-limiting rod, and automatic driving system

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Beijing, China

Zhipeng Xiao