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This paper introduces an efficient motion planning method for on-road driving of the autonomous vehicles, which is based on the rapidly exploring random tree (RRT) algorithm. RRT is an incremental sampling-based algorithm and is widely used to solve the planning problem of mobile robots. However, due to the meandering path, the inaccurate terminal state, and the slow exploration, it is often inefficient...
This paper proposes a trajectory generation method for mobile robot by extending the trajectory segment iteratively. Considering the practical uses of the mobile robot like service purpose in the real world, it requires that the trajectory planning is done adaptively by depending on the situation changes. For that, designated waypoints for future motion are given sequentially from the environment...
This paper proposes a trajectory generation method for mobile robots based on trajectory segment extension. The trajectory for mobile robot must be generated by depending on the conditions during the robot traveling. Such conditions to design the trajectory are given when the robot comes around those locations and are not provided before arriving around there. From this point of view, we have started...
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