Interested in Autonomous Driving, LiDAR Perception, Computer Vision.
image_measurement. Including image smoothing, image enhancement, image edge detection, image thresholding, image refinement, area measuring, area boundary extraction and perimeter calculation.
31Point-Cloud-Perception-Papers-Reading. Some papers about 3D point cloud processing from LiDAR, cameras, etc.
25Apollo-seg. The lidar obstacle segmention part of Apollo perception module.
16SVM_HOG_CUDA. HOG pedestrian detection algorithm CUDA parallel implementation.
11SVM_HOG_detection_predict. Using HOG descriptors and SVM classifiers in OpenCV to achieve pedestrian detection.
3Line-Segment-Cluster. Laser Line Segment Clustering Algorithm Based on Graph.
3lms1xx_perception. This is the multiple lms1xx part of our tramcar perception system.
2VoteNet. Deep Hough Voting for 3D Object Detection in Point Clouds (https://arxiv.org/abs/1904.09664)
1point_labeler. My awesome point cloud labeling tool
1simpledet. A Simple and Versatile Framework for Object Detection and Instance Recognition
1SqueezeSeg. Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
1siren_recognition. Based on the improved Gaussian mixture model and the flute-based vehicle identification method which incorporates MFCC features and RASTA-PLP features.
1recorder. A simple recorder using wavein api.
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