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Defect Detection in Tire X-Ray Images: Conventional Methods Meet Deep Structures
This paper introduces a robust approach for automated defect detection in tire X-ray images by harnessing traditional feature extraction methods such as Local Binary Pattern (LBP) and Gray Level Co-Occurrence Matrix (GLCM) features, as well as Fourier and Wavelet-based features, complemented by advanced machine learning techniques.
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking
Our proposed method uses a center-based radar-camera fusion algorithm for object detection and utilizes a greedy algorithm for object association.
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