Web: http://arxiv.org/abs/2201.11871

Jan. 31, 2022, 2:10 a.m. | Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth

cs.CV updates on arXiv.org arxiv.org

Object detection plays a fundamental role in enabling Cooperative Driving
Automation (CDA), which is regarded as the revolutionary solution to addressing
safety, mobility, and sustainability issues of contemporary transportation
systems. Although current computer vision technologies could provide
satisfactory object detection results in occlusion-free scenarios, the
perception performance of onboard sensors could be inevitably limited by the
range and occlusion. Owing to flexible position and pose for sensor
installation, infrastructure-based detection and tracking systems can enhance
the perception capability for connected …

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