Study on virtual human path planing and obstacle avoidance strategy

Obstacle avoidance problem is key problem of virtual human path planning in virtual environment. The paper introduces virtual sensor to detect obstacles in virtual environment. It uses obstacle avoidance strategy of backtrack potential field method which is fit for dynamic environment, and improved repulsion potential field function. The minimal value problem is overcome in traditional potential field method, it realizes intelligent path planning of virtual human. Effectiveness of the method is confirmed by simulation.