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- W4387251163 abstract "In response to the problems of low accuracy, high computational complexity, and low real-time performance in the binocular visual positioning for autonomous driving, an improved binocular visual positioning algorithm suitable for autonomous driving was proposed by modifying the ORB algorithm based on feature point matching. In the improved positioning algorithm, the YOLOv7 network was used for target detection to obtain the target area, and the Shi-Tomasi algorithm and the GMS algorithm were introduced to improve the S-G-ORB algorithm for stereo matching in the target area to obtain disparity and calculate the three-dimensional coordinates. Experimental results showed that the proposed algorithm has high accuracy and real-time performance, which meets the requirements of target detection and positioning for autonomous driving." @default.
- W4387251163 created "2023-10-03" @default.
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- W4387251163 date "2023-08-12" @default.
- W4387251163 modified "2023-10-06" @default.
- W4387251163 title "Target visual detection and positioning for autonomous driving" @default.
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- W4387251163 doi "https://doi.org/10.1109/ccis59572.2023.10263042" @default.
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