CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks

arXiv:2404.03191v1 Announce Type: new
Abstract: Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development. However, it has been observed that the majority of their concentrates is on urban arterial roads, inadvertently overlooking residential areas such as parks and campuses that exhibit entirely distinct characteristics. In light of this gap, we propose CORP, which stands as the first public benchmark dataset tailored for multi-modal roadside perception tasks under campus scenarios. …

abstract arxiv autonomous autonomous driving cs.cv dataset datasets development driving however intelligent intelligent transportation modal multi-modal perception research research and development roads systems tasks transportation type urban