Surround Sensing Technique for Trucks Based on Multi-Features and Improved Yolov5 Algorithm
Zixian Li,
Yongtao Li,
Hanyan Li
et al.
Abstract:The traditional rearview mirror method cannot fully guarantee safety when driving trucks. RGB and infrared images collected by cameras are used for registration and recognition, so as to achieve the perception of surroundings and ensure safe driving. The traditional scale-invariant feature transform (SIFT) algorithm has a mismatching rate, and the YOLO algorithm has an optimization space in feature extraction. To address these issues, this paper proposes a truck surround sensing technique based on multi-featur… Show more
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