Human Motion Prediction in Urban Environments
The deployment of service robots in urban settings is an open issue for the robotics community. Tackling the problem by only relying on a robust navigation is not enough, although this topic has grown enormously in the few past years. Thus, the understanding of human motion in urban environments is of extreme importance in order to adapt service robots to typical human environments and not in the contrary.
This thesis aims to obtain a human motion model to cope with the current problems of robot navigation in urban environments. That is a step towards a more intelligent robot navigation.
The work is under the scope of the following projects:
- MIPRCV: CONSOLIDER-INGENIO 2010 Multimodal interaction in pattern recognition and computer vision (web)