Michael André Gonçalves

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We propose a motion planner for car-like robots based on the rapidly-exploring random tree (RRT) method. Our motion planner was designed especially for cars driving on roads. So, its goal is to build trajectories from the car’s initial state to the goal state in real time, which stay within the desired lane bounds and keep a safe distance from obstacles.(More)
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