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Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications. (arXiv:2205.11849v1 [cs.CV])
May 25, 2022, 1:12 a.m. | Junyong Wang, Yuan Zeng, Yi Gong
cs.CV updates on arXiv.org arxiv.org
Accurate detection of objects in 3D point clouds is a key problem in
autonomous driving systems. Collaborative perception can incorporate
information from spatially diverse sensors and provide significant benefits for
improving the perception accuracy of autonomous driving systems. In this work,
we consider that the autonomous vehicle uses local point cloud data and
combines information from neighboring infrastructures through wireless links
for cooperative 3D object detection. However, information sharing among vehicle
and infrastructures in predefined communication schemes may result in …
More from arxiv.org / cs.CV updates on arXiv.org
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