Feb. 2, 2024, 9:42 p.m. | Marc Uecker J. Marius Z\"ollner

cs.CV updates on arXiv.org arxiv.org

In this paper, we introduce a method for estimating blind spots for sensor setups of autonomous or automated vehicles and/or robotics applications. In comparison to previous methods that rely on geometric approximations, our presented approach provides more realistic coverage estimates by utilizing accurate and detailed 3D simulation environments. Our method leverages point clouds from LiDAR sensors or camera depth images from high-fidelity simulations of target scenarios to provide accurate and actionable visibility estimates. A Monte Carlo-based reference sensor simulation enables …

applications automated automated vehicles autonomous autonomous vehicles blind blind spot comparison coverage cs.cv cs.ro paper random reference robotics sensor sensors simulation spot vehicles

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