AI RESEARCH
Multi-modal panoramic 3D outdoor datasets for place categorization
arXiv CS.CV
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ArXi:2604.13142v1 Announce Type: cross We present two multi-modal panoramic 3D outdoor (MPO) datasets for semantic place categorization with six categories: forest, coast, residential area, urban area and indoor/outdoor parking lot. The first dataset consists of 650 static panoramic scans of dense (9,000,000 points) 3D color and reflectance point clouds obtained using a FARO laser scanner with synchronized color images.