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[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

MapUncertaintyPrediction

This repository contains the official implementation of Producing and Leveraging Online Map Uncertainty in Trajectory Prediction published in CVPR 2024 [Award Candidate].

Getting Started

  • Environment Setup
  • Prepare Dataset
  • Mapping Train and Eval
  • Merge Map and Trajectory Dataset
  • Trajectory Train and Eval
  • Visualization

Results

Mapping checkpoints are here. Trajectory prediction checkpoints are here.

Catalog

  • [x] Visualization Code
  • [x] Code release
    • [x] MapTR
    • [x] MapTRv2
    • [x] StreamMapNet
    • [x] HiVT
    • [x] DenseTNT
  • [x] Initialization

Citation

If you found this repository useful, please consider citing our work:

@Inproceedings{GuSongEtAl2024,
  author    = {Gu, Xunjiang and Song, Guanyu and Gilitschenski, Igor and Pavone, Marco and Ivanovic, Boris},
  title     = {Producing and Leveraging Online Map Uncertainty in Trajectory Prediction},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2024}
}

License

This repository is licensed under Apache 2.0.