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arxiv 2109.08494 v1 pith:OL737PLC submitted 2021-09-17 cs.RO cs.CV

What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing

classification cs.RO cs.CV
keywords crowdrobotaroundsensinghumannavigationproblemstate
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We consider the navigation of mobile robots in crowded environments, for which onboard sensing of the crowd is typically limited by occlusions. We address the problem of inferring the human occupancy in the space around the robot, in blind spots, beyond the range of its sensing capabilities. This problem is rather unexplored in spite of the important impact it has on the robot crowd navigation efficiency and safety, which requires the estimation and the prediction of the crowd state around it. In this work, we propose the first solution to sample predictions of possible human presence based on the state of a fewer set of sensed people around the robot as well as previous observations of the crowd activity.

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