Demo Abstract: Cooperative Multi-modal Sensing
Practitioners face substantial challenges in building multi-modal platforms that are essential for autonomous systems' safe decision-making. Those complications, including synchronization, calibration, and tedious sensor validation, hinder user adoption for real-world applications. We present CMS, a Cooperative Multi-modal Sensing Platform. CMS provides one consistent interface, integrating LiDAR, camera, RaDAR, and GNSS/IMU, streamlines these processes and makes the intricacies transparent to users and applications. Our demonstration shows that CMS can obtain high-quality multi-modal sensor data, paving the way toward real-world prototypes of cooperative autonomous systems.
Authors
- Jiarong Li
- Dinesh Bharadia (ORCID: https://orcid.org/0000-0002-3518-4722)
- Hang Qiu (ORCID: https://orcid.org/0000-0003-1206-9032)
- J.H. Yue
- Ruoshen Mo (ORCID: https://orcid.org/0009-0009-3618-6955)
- Bo Wu
Institutions
- University of California, Riverside (US)
- University of California San Diego (US)
Publication Details
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1145/3715014.3724372
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00