Chenxu Luo, Xiaodong Yang, Alan Yuille
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving, ICCV 2021
[Paper] [Poster] [YouTube]

Please refer to INSTALL for the detail.

• Down load nuScenes mini

python ./tools/create_data.py nuscenes_data_prep --root_path=NUSCENES_TRAINVAL_DATASET_ROOT --version="v1.0-mini" --nsweeps=10

Soft link the dataset to this directory.

python ./tools/val_nusc_tracking.py examples/point_pillars/configs/nusc_all_pp_centernet_tracking.py --checkpoint model_zoo/simtrack_pillar.pth --work_dir experiments

If you encounter problems during evaluation, try upgrading nuscenes-devkit.

Please cite the following paper if this repo helps your research:

@InProceedings{Luo_2021_ICCV,
    author    = {Luo, Chenxu and Yang, Xiaodong and Yuille, Alan},
    title     = {Exploring Simple 3D Multi-Object Tracking for Autonomous Driving},
    booktitle = {International Conference on Computer Vision (ICCV)},
    year      = {2021}
}

Copyright (C) 2021 QCraft. All rights reserved. Licensed under the CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International). The code is released for academic research use only. For commercial use, please contact [email protected].