May 3, 2024, 4:58 a.m. | Kai Luo, Hao Wu, Kefu Yi, Kailun Yang, Wei Hao, Rongdong Hu

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.01258v1 Announce Type: new
Abstract: As human-machine interaction continues to evolve, the capacity for environmental perception is becoming increasingly crucial. Integrating the two most common types of sensory data, images, and point clouds, can enhance detection accuracy. However, currently, no model exists that can simultaneously detect an object's position in both point clouds and images and ascertain their corresponding relationship. This information is invaluable for human-machine interactions, offering new possibilities for their enhancement. In light of this, this paper introduces …

arxiv consistent cs.cv cs.ro detection eess.iv lidar object synergy type via

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