Real-Time Multi-Car Localization and See-Through System
作者:Francois Rameau, Oleksandr Bailo, Jinsun Park, Kyungdon Joo, In So Kweon
摘要
In this paper, we propose a multi-vehicle localization approach relying exclusively on cameras installed on connected cars (e.g. vehicles with Internet access). The proposed method is designed to perform in real-time while requiring a low bandwidth connection as a result of an efficient distributed architecture. Hence, our approach is compatible with both LTE Internet connection and local Wi-Fi networks. To reach this goal, the vehicles share small portions of their respective 3D maps to estimate their relative positions. The global consistency between multiple vehicles is enforced via a novel graph-based strategy. The efficiency of our system is highlighted through a series of real experiments involving multiple vehicles. Moreover, the usefulness of our technique is emphasized by an innovative and unique multi-car see-through system resolving the inherent limitations of the previous approaches. A video demonstration is available via: https://youtu.be/GD7Z95bWP6k.
论文关键词:Simultaneous localization and mapping, Collaborative SLAM, Connected vehicles, See-through
论文评审过程:
论文官网地址:https://doi.org/10.1007/s11263-021-01558-5