2019
Pedestrian Density Prediction for Efficient Mobile Robot Exploration
IROS 2019poster
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…