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CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking
March 25, 2024, 4:45 a.m. | Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas K\"uhne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno
cs.CV updates on arXiv.org arxiv.org
Abstract: Accurate detection and tracking of surrounding objects is essential to enable self-driving vehicles. While Light Detection and Ranging (LiDAR) sensors have set the benchmark for high performance, the appeal of camera-only solutions lies in their cost-effectiveness. Notably, despite the prevalent use of Radio Detection and Ranging (RADAR) sensors in automotive systems, their potential in 3D detection and tracking has been largely disregarded due to data sparsity and measurement noise. As a recent development, the combination …
abstract arxiv benchmark cost cs.ai cs.cv detection driving fusion lidar lies light objects performance radar radio self-driving self-driving vehicles sensors set solutions tracking type vehicles
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Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
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