Laser range finder based moving object tracking and avoidance in dynamic environment

The mobile robot that works in dynamic environment must have strong ability of avoiding obstacles especially moving objects and move to it original goal. To achieve the goal, the dynamic polar coordinate environment model based on laser range finder is set up, which can not only simplify the environment description but also improve the responding ability. Based on these data a moving object tracking model is also set up, which take into account the influence of moving platform, may obtain better tracking effect. The robot may anticipate the collision possibility, collision time and position from tracking algorithm, and then three obstacle avoiding policy is presented for robot to choose according to the collision estimation. The experiment shows good moving object avoiding result.