I created some utils for simply use.
Repo for Kaggle competetion https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles
Important Links:
http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d
https://medium.com/@SmartLabAI/3d-object-detection-from-lidar-data-with-deep-learning-95f6d400399a
https://www.kaggle.com/gzuidhof/reference-model
https://www.kaggle.com/meaninglesslives/lyft3d-inference-kernel
https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/notebooks
https://www.kaggle.com/rishabhiitbhu/eda-understanding-the-dataset-with-3d-plots
https://github.com/timzhang642/3D-Machine-Learning
https://towardsdatascience.com/the-state-of-3d-object-detection-f65a385f67a8
http://www.nada.kth.se/~ann/exjobb/ezeddin_alhakim.pdf
https://mc.ai/3d-object-detection-using-deep-learning/
https://core.ac.uk/download/pdf/85208250.pdf
Official Github repo from the authors of VoxelNet : https://github.com/qianguih/voxelnet
2d detection: https://github.com/hoya012/deep_learning_object_detection
3d lidar detection: http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d