From 2D to 3D: AISG-SLA Visual Localization Challenge

Jialin Gao; Bill Ong; Darld Lwi; Zhen Hao Ng; Xun Wei Yee; Mun-Thye Mak; Wee Siong Ng; See-Kiong Ng

IJCAI 2024poster0 citations

From 2D to 3D: AISG-SLA Visual Localization Challenge

Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng

Abstract

Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position estimation, offers a solution by determining the camera's pose solely through visual cues. However, this task is challenging due to limited data from a single camera. To tackle these challenges, we organized the AISG–SLA Visual Localization Challenge (VLC) at IJCAI 2023 to explore how AI can accurately extract camera pose data from 2D images in 3D space. The challenge attracted over 300 participants worldwide, forming 50+ teams. Winning teams achieved high accuracy in pose estimation using images from a car-mounted camera with low frame rates. The VLC dataset is available for research purposes upon request via vlc-dataset@aisingapore.org.

Computer Vision: CV: 3D computer visionComputer Vision: CV: ApplicationsComputer Vision: CV: Machine learning for visionComputer Vision: CV: Motion and trackingComputer Vision: CV: Recognition (object detection, categorization)Computer Vision: CV: Scene analysis and understandingComputer Vision: CV: Segmentation

BibTeX

@inproceedings{ijcai2024p1003,
  title     = {From 2D to 3D: AISG-SLA Visual Localization Challenge},
  author    = {Gao, Jialin and Ong, Bill and Lwi, Darld and Ng, Zhen Hao and Yee, Xun Wei and Mak, Mun-Thye and Ng, Wee Siong and Ng, See-Kiong and Teo, Hui Ying and Khoo, Victor and Bökman, Georg and Edstedt, Johan and Brodt, Kirill and Boittiaux, Clémentin and Ferrera, Maxime and Konev, Stepan},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-24}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Kate Larson},
  pages     = {8661--8664},
  year      = {2024},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2024/1003},
  url       = {https://doi.org/10.24963/ijcai.2024/1003},
}