Competition entry for didi-udacity 2017 challenge for autonomous driving
you can follow the development process at: https://medium.com/@hengcherkeng/part-1-didi-udacity-challenge-2017-car-and-pedestrian-detection-using-lidar-and-rgb-fff616fc63e8#.x9mavqle3
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There is no formal setting of team and division of task for now. We have study the problem first for one week.
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Basically, target for week mar-13:
- download kitti dataset and make code for read data
- construct simple network based on cvpr paper[1] using tensorflow
- fit train data and make demo video (on train set)
[delivery] : initial code + demo video
This is results on training (not testing)
