A stochastic algorithm for obstacle motion prediction in visual guidance of robot motion
Qingqing Zhu · 2002
The algorithm presented is based on a hidden Markov model description of the motions of obstacles and uses probabilistic evaluation for the selection of collision-free trajectories in the visual guidance of mobile robot motion. The algorithm is reliable in terms of catching the nature of obstacle motions in a dynamic environment. The computation time is modest, as the simulation results show