PROJECT TITLE :
A Review of Motion Planning Techniques for Automated Vehicles
Intelligent vehicles have increased their capabilities for highly and, even absolutely, automated driving beneath controlled environments. Scene data is received using onboard sensors and communication network systems, i.e., infrastructure and different vehicles. Considering the offered info, completely different motion designing and management techniques have been implemented to autonomously driving on complicated environments. The most goal is targeted on executing strategies to boost safety, comfort, and energy optimization. But, research challenges like navigation in urban dynamic environments with obstacle avoidance capabilities, i.e., vulnerable road users (VRU) and vehicles, and cooperative maneuvers among automated and semi-automated vehicles still would like further efforts for a true surroundings implementation. This paper presents a review of motion designing techniques implemented within the intelligent vehicles literature. A description of the technique employed by research groups, their contributions in motion coming up with, and a comparison among these techniques is also presented. Relevant works within the overtaking and obstacle avoidance maneuvers are presented, permitting the understanding of the gaps and challenges to be addressed in the subsequent years. Finally, an outline of future research direction and applications is given.
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