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Instantaneous Perception of Moving Objects in 3D
May 7, 2024, 4:47 a.m. | Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker
cs.CV updates on arXiv.org arxiv.org
Abstract: The perception of 3D motion of surrounding traffic participants is crucial for driving safety. While existing works primarily focus on general large motions, we contend that the instantaneous detection and quantification of subtle motions is equally important as they indicate the nuances in driving behavior that may be safety critical, such as behaviors near a stop sign of parking positions. We delve into this under-explored task, examining its unique challenges and developing our solution, accompanied …
abstract arxiv behavior cs.cv detection driving focus general moving objects perception quantification safety traffic type while
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