Pedestrian Density Prediction for Efficient Mobile Robot Exploration

We present a method to predict humans in unexplored map areas given limited observations of the environment. We used a geometric representation of the environment based on cost maps and semantic room categorization. Human density distributions were generated using a human tracker based on LiDAR data...

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Bibliographic Details
Main Authors: Zapf, Marc Patrick, Kawanabe, Motoaki, Saiki, Luis Yoichi Morales
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Laser radar
Meters
Mobile robots
Navigation
Pedestrians
Predictive models
Semantics
Solid modeling
Three-dimensional displays
Online Access:Request full text
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