Beihang University

Beijing Research Center for Information Technology in Agriculture

Haiyang Yu

Li Wang

Xiaodong Yang

Hao Yang

Zhiwei Li

Xinyu Zhang

Chunjiang Zhao

Hua Yan

Yunpeng Wang

Guijun Yang

Xingang Xu

Haikuan Feng

Rentao Sun

Yilong Ren

Xiaohe Gu

A target detection method based on the fusion of prior positioning of a millimeter-wave radar and a visual feature includes: simultaneously obtaining, based on the millimeter-wave radar and a vehicle-mounted camera after being calibrated, point cloud data of the millimeter-wave radar and a camera image; performing spatial 3D coordinate transformation on the point cloud data to project transformed point cloud data onto a camera plane; generating a plurality of anchor samples based on projected point cloud data according to a preset anchor strategy, and obtaining a final anchor sample based on a velocity-distance weight of each candidate region; fusing RGB information of the camera image and intensity information of an RCS in the point cloud data to obtain a feature of the final sample; and inputting the feature of the final anchor sample into a detection network to generate category and position information of a target in a scenario.

Target detection method based on fusion of prior positioning of millimeter-wave radar and visual feature

Related are a drone-mounted imaging hyperspectral geometric correction method and a system, comprising: collecting position attitude information of a current drone low-precision POS sensor in real time; based on the position attitude information, parsing precise photography center position attitude information of a digital photograph, and generating a DEM of an area covered by the photograph; based on the precise photography center position attitude information, performing correction on position attitude data corresponding to multiple imaging hyperspectral scan lines between photography centers of adjacent digital photographs, and obtaining high-precision linear array position attitude information of the multiple imaging hyperspectral scan lines; based on the high-precision linear array position attitude information and the DEM, establishing a collinearity equation and generating a hyperspectral image.

Drone-mounted imaging hyperspectral geometric correction method and system

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Haiyang Yu