Maneuver-Based Trajectory Planning for Highly Autonomous Vehicles on Real Road With Traffic and Driver Interaction

By Sebastien Glaser, B. Vanholme, S. Mammar, Dominique Gruyer, L. Nouvelière. IEEE transactions on intelligent transportation systems (Print), 2010

325 citations recorded by the source corpus.

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A Review of Motion Planning for Highway Autonomous Driving (2020, methodology): “In [150], the authors present to the driver a maneuver grid based on a crash estimation with the Equivalent Energetic Speed (EES), whereas [193] introduces game theory for”
A Survey of Deep Learning Applications to Autonomous Vehicle Control (2019, methodology): “Also, the safety based controller uses an Artificial Potential Field method [215] which models any obstacles with a repulsive force to steer the vehicle away from them.”
Traffic trajectory history and drive path generation using GPS data cloud (2015, background): “Maneuver-Based Trajectory planning has been proposed in [7].”
A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles (2017, background): “The mission planning module may generate these reference signals according to road regulations, planned vehicle route, and flows of the lanes [15-17].”
Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment (2012, background): “Still, 33 808 people died, and about 2.2 million people were injured in crashes in 2009 [4], which is a traffic safety statistics that remains unsatisfactory.”
A Review of Motion Planning Techniques for Automated Vehicles (2016, methodology): “For the computation of the polynomial coefficient, the reader is referred to [76], [77] and [79].”