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• W4285102256 abstract "This paper presents a novel place recognition approach to autonomous vehicles by using low-cost, single-chip automotive radar. Aimed at improving recognition robustness and fully exploiting the rich information provided by this emerging automotive radar, our approach follows a principled pipeline that comprises (1) dynamic points removal from instant Doppler measurement, (2) spatial-temporal feature embedding on radar point clouds, and (3) retrieved candidates refinement from Radar Cross Section measurement. Extensive experimental results on the public nuScenes dataset demonstrate that existing visual/LiDAR/spinning radar place recognition approaches are less suitable for single-chip automotive radar. In contrast, our purpose-built approach for automotive radar consistently outperforms a variety of baseline methods via a comprehensive set of metrics, providing insights into the efficacy when used in a realistic system." @default.
• W4285102256 created "2022-07-14" @default.
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• W4285102256 date "2022-05-23" @default.
• W4285102256 modified "2023-09-23" @default.
• W4285102256 title "AutoPlace: Robust Place Recognition with Single-chip Automotive Radar" @default.
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• W4285102256 doi "https://doi.org/10.1109/icra46639.2022.9811869" @default.
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