Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
Zezhong Zhang, Seung-Woo Ko, Rui Wang, and Kaibin Huang

TL;DR
This paper introduces COMPOP, a cooperative multi-point positioning method for autonomous vehicles that leverages millimeter-wave surface reflections and vehicle cooperation to achieve real-time, line-of-sight independent positioning, overcoming limitations of traditional methods.
Contribution
The paper proposes a novel cooperative positioning approach that removes the need for environment scanning and recognition, enabling real-time vehicle positioning even without line-of-sight.
Findings
Effective clock synchronization using phase-differential-of-arrival.
Successful position estimation via Fourier transform-based peak detection.
Simulation results demonstrate robustness in practical urban scenarios.
Abstract
Multi-point vehicular positioning is one essential operation for autonomous vehicles. However, the state-of-the-art positioning technologies, relying on reflected signals from a target (i.e., RADAR and LIDAR), cannot work without line-of-sight. Besides, it takes significant time for environment scanning and object recognition with potential detection inaccuracy, especially in complex urban situations. Some recent fatal accidents involving autonomous vehicles further expose such limitations. In this paper, we aim at overcoming these limitations by proposing a novel relative positioning approach, called Cooperative Multi-point Positioning (COMPOP). The COMPOP establishes cooperation between a target vehicle (TV) and a sensing vehicle (SV) if a LoS path exists, where a TV explicitly lets an SV to know the TV's existence by transmitting positioning waveforms. This cooperation makes it…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Millimeter-Wave Propagation and Modeling · Radio Wave Propagation Studies
