Road Detection by combining camera and LIDAR
- fcn_detector: code for fully convolutional network (FCN) in Tensorflow
- fcn_output: testing results of FCN
- knn_output: testing results of k-nearest neighbor
- runs: training results of FCN
- runs_fusion: sensor fusion results
- 498_LidarRead: code for LIDAR heatmap method
- find_iou.py: calculates the Intersection over Union (IoU) of the result images
- knn.py: code for k-nearest neighbor
- road_detection.py: PyTorch implementation of FCN, has errors and doesn't work
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500547 Road detection using KITTI dataset:https://ieeexplore.ieee.org/abstract/document/7759717
https://github.com/TuSimple/tusimple-benchmark/wiki
https://arxiv.org/pdf/1809.07941.pdf
http://www.cs.toronto.edu/~slwang/lane_detect.pdf
A good summary of all avaliable datasets: https://mighty.ai/blog/top_open_source_lidar_driving_datasets/ http://www.cvlibs.net/datasets/kitti/eval_road.php