MapUncertaintyPrediction
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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.