vasgaowei / bev-perception Goto Github PK

Hi @vasgaowei, I would like to recommend including our newly launched ICRA 2024 competition in your repository.

We are thrilled to announce The RoboDrive Challenge 🚙 at the upcoming ICRA 2024, one of the flagship robotics and autonomous driving conferences set to take place from May 13th to 17th in the vibrant city of Yokohama, Japan.

The RoboDrive Challenge aims to foster the development of robust algorithms for autonomous driving perception in challenging conditions. The competition period of this year’s challenge is from January to April. There are a total of five tracks in RoboDrive, with emphasis on the following 3D scene perception tasks:

• Track 1: Robust BEV Detection.
• Track 2: Robust Map Segmentation.
• Track 3: Robust Occupancy Prediction.
• Track 4: Robust Multi-View Depth Estimation.
• Track 5: Robust Multi-Modal BEV Detection.

Top-performing solutions in each track will be honored with cash awards and certificates.

We encourage anyone who is interested in BEV perception to join us in this exciting endeavor to push the boundaries of robust perception technology!

Useful Links:

• RoboDrive Homepage: https://robodrive-24.github.io
• GitHub Toolkit: https://github.com/robodrive-24/toolkit
• E-Mail: [email protected]

Hi @vasgaowei, thanks for meticulously maintaining this informative repository!

To further enhance the comprehensiveness of this repository, I would like to recommend the following papers under the category BEV Segmentation - Lidar:

• FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation (arXiv 2023) [Paper] [GitHub]
• Segment Any Point Cloud Sequences by Distilling Vision Foundation Models (NeurIPS 2023 Spotlight) [Paper] [GitHub]
• Towards Label-Free Scene Understanding by Vision Foundation Models (NeurIPS 2023) [Paper] [GitHub]
• Robo3D: Towards Robust and Reliable 3D Perception against Corruptions (ICCV 2023) [Paper] [GitHub]
• Rethinking Range View Representation for LiDAR Segmentation (ICCV 2023) [Paper]
• UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase (ICCV 2023) [Paper] [GitHub]
• LaserMix for Semi-Supervised LiDAR Semantic Segmentation (CVPR 2023 Highlight) [Paper] [GitHub]
• CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP (CVPR 2023) [Paper] [GitHub]
• ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation (ICRA 2023) [Paper] [GitHub]

Also the following paper under the category 3D Object Detection - Multiple Camera:

• Benchmarking and Analyzing Bird's Eye View Perception Robustness to Corruptions (arXiv 2023) [Paper] [GitHub]

Thanks again for your help!