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Official implementation of paper InsightMapper: A closer look at inner-instance information for vectorized High-Definition Mapping

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InsMapper

This is the official implementation of paper InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping by Zhenhua Xu, Kwan-Yee. K. Wong, Hengshuang Zhao from the Univerisity of Hong Kong.

Project page

Note

The code will be released in a later stage. Please first check our paper and demos!

Update

  • Sep/28/2023: Update the manuscript. More experiments are added, including the comparison with MapTR-V2.

  • Aug/24/2023: Release more demos and the supplementary document at our new project page. Code will be released in a later stage.

  • Aug/17/2023: Release paper on arxiv at paper.

Demo

We visualize live demos of InsMapper under various scenarios, with different whether and time. Some scenes may have complicated road intersection areas. Short demos are visualized with 2Hz, while long demos have 4Hz FPS.

For more demos, please visit our new project page.

Demo 3. Short, 2Hz, day time, complicated road intersections

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Demo 7. Long, 4Hz, day time, rainy, complicated road intersections

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Demo 8. Long, 4Hz, night

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Contact

For any questions, please send email to zhxuv at hku dot hk or open an issue.

Acknowledgement

We thank these high-quality open-sourced projects MapTR, VectorMapNet, HDMapNet, STSU, Sat2Graph, Deformable DETR.

Citation

@article{xu2023InsMapper,
  title={InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping},
  author={Xu, Zhenhua and Wong, Kwan-Yee~K. and Zhao, Hengshuang},
  journal={arXiv preprint arXiv:2308.08543},
  year={2023}
}

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Official implementation of paper InsightMapper: A closer look at inner-instance information for vectorized High-Definition Mapping

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