Path Planning Model Based on Mixed Perception Information
Ni Hui · Jisuanji gongcheng · 2010
Aiming at the problem of real-time obstacle avoidance for autonomous virtual humans in dynamic unknown environment,this paper presents a path planning model based on the mixed perception information.The model is composed of a global planner and a local planner.The global planner computes an optimal path according to the known environment information,and the local planner establishes the assessment function of motion cost for local dynamic planning according to the analysis of the human planning behavior,realizes the plausible intelligent planning behaviors for virtual humans in dynamic unknown situation.Experimental results show that this model can run in real-time,it can simulate the planning behavior well fitting for human characteristic.