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Optimal acceleration-bounded trajectory planning in dynamic environments along a specified path
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/rob.20262openalex-snapshot
A perception‐driven autonomous urban vehicle
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Motion planning with inertial constraints
inferredcites →https://doi.org/10.1109/icsmc.2009.5346330openalex-snapshot
A unified approach to semi-autonomous control of passenger vehicles in hazard avoidance scenarios
inferredcites →https://doi.org/10.1109/iros.1993.583794openalex-snapshot
Dynamic trajectory planning with dynamic constraints: A 'state-time space' approach
inferredcites →https://doi.org/10.1109/iros.2005.1545549openalex-snapshot
Safe motion planning in dynamic environments
inferredcites →https://doi.org/10.1109/iros.2010.5654369openalex-snapshot
Unfreezing the robot: Navigation in dense, interacting crowds
inferredcites →https://doi.org/10.1109/robot.2009.5152537openalex-snapshot
Real-time trajectory generation for car-like vehicles navigating dynamic environments
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An exact algorithm for kinodynamic planning in the plane
inferredcites →https://doi.org/10.1177/0278364905051974openalex-snapshot
Coordinating Multiple Robots with Kinodynamic Constraints Along Specified Paths
inferredcites →https://doi.org/10.1177/0278364909340445openalex-snapshot
Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles
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Toward Efficient Trajectory Planning: The Path-Velocity Decomposition
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Path Planning Using a Tangent Graph for Mobile Robots Among Polygonal and Curved Obstacles
inferredcites →https://doi.org/10.1177/027836499801700706openalex-snapshot
Motion Planning in Dynamic Environments Using Velocity Obstacles
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Planification de trajectoire dans un environnement peu contraint et fortement dynamique
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