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.

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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
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article

Demo Abstract: Cooperative Multi-modal Sensing

Jiarong Li, Dinesh Bharadia, Hang Qiu, J.H. Yue et al.
Indoor and Outdoor Localization Technologies
article

Demo Abstract: Cooperative Multi-modal Sensing

Jiarong Li, Dinesh Bharadia, Hang Qiu, J.H. Yue, Ruoshen Mo, Bo Wu
article en

Abstract

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.

University of California, Riverside (US), University of California San Diego (US)
Openalex Percentile: Top 92%
Indoor and Outdoor Localization Technologies
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Demo Abstract: Cooperative Multi-modal Sensing — Jiarong Li, Dinesh Bharadia, et al. · (2025) | TGRS Research Map | TGRS