AI RESEARCH
Sixth-Sense: Self-Supervised Learning of Spatial Awareness of Humans from a Planar Lidar
arXiv CS.LG
•
ArXi:2502.21029v2 Announce Type: replace-cross Reliable localization of people is fundamental for service and social robots that must operate in close interaction with humans. State-of-the-art human detectors often rely on RGB-D cameras or costly 3D LiDARs. However, most commercial robots are equipped with cameras with a narrow field of view, leaving them unaware of users approaching from other directions, or inexpensive 1D LiDARs whose readings are hard to interpret.