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Planning a time-minimal motion among moving obstacles
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0020-0190(85)90044-4openalex-snapshot
Constructing the visibility graph for n-line segments in O(n2) time
inferredcites →https://doi.org/10.1016/b978-0-444-87806-9.50019-0openalex-snapshot
Computational Geometry and Motion Planning
inferredcites →https://doi.org/10.1109/cvpr.1988.196325openalex-snapshot
Accessibility: a new approach to path planning among moving obstacles
inferredcites →https://doi.org/10.1109/jra.1987.1087133openalex-snapshot
Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case
inferredcites →https://doi.org/10.1109/sfcs.1985.36openalex-snapshot
Motion planning in the presence of moving obstacles
inferredcites →https://doi.org/10.1109/sfcs.1987.42openalex-snapshot
New lower bound techniques for robot motion planning problems
inferredcites →https://doi.org/10.1109/sfcs.1987.6openalex-snapshot
An output sensitive algorithm for computing visibility graphs
inferredcites →https://doi.org/10.1145/359156.359164openalex-snapshot
An algorithm for planning collision-free paths among polyhedral obstacles
inferredcites →https://doi.org/10.1145/73393.73411openalex-snapshot
Efficient algorithms for Euclidean shortest path and visibility problems with polygonal obstacles
inferredcites →https://doi.org/10.1177/027836498600500304openalex-snapshot
Toward Efficient Trajectory Planning: The Path-Velocity Decomposition
inferredcites →https://doi.org/10.2307/2008200openalex-snapshot
Computational Geometry--An Introduction.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-21090-7_32openalex-snapshot
A Lower Bounding Framework for Motion Planning Amid Dynamic Obstacles in 2D
inferred← citeshttps://doi.org/10.1007/978-3-540-74205-0_58openalex-snapshot
A Genetic Algorithm for Shortest Path Motion Problem in Three Dimensions
inferred← citeshttps://doi.org/10.1007/978-3-642-17452-0_5openalex-snapshot
Incremental Sampling-Based Algorithms for a Class of Pursuit-Evasion Games
inferred← citeshttps://doi.org/10.1007/978-3-642-35197-6_9openalex-snapshot
A Braitenberg Approach to Mobile Robot Navigation in Unknown Environments
inferred← citeshttps://doi.org/10.1007/bf01782478openalex-snapshot
Shape transformation in space-time
inferred← citeshttps://doi.org/10.1007/s10514-016-9580-2openalex-snapshot
Velocity obstacle based local collision avoidance for a holonomic elliptic robot
inferred← citeshttps://doi.org/10.1007/s42979-020-00185-0openalex-snapshot
Probabilistic Approach to Robot Motion Planning in Dynamic Environments
inferred← citeshttps://doi.org/10.1007/s44212-025-00081-zopenalex-snapshot
Sidewalk2Synth: generating synthetic embodied locomotion from real-world streetscapes
inferred← citeshttps://doi.org/10.1016/b978-0-443-30106-3.00022-1openalex-snapshot
Motion planning for coordinating unmanned vehicles in smart factories
inferred← citeshttps://doi.org/10.1016/j.automatica.2016.12.023openalex-snapshot
Method of evolving junctions: A new approach to optimal control with constraints
inferred← citeshttps://doi.org/10.1016/j.comgeo.2009.02.007openalex-snapshot
Maximum thick paths in static and dynamic environments
inferred← citeshttps://doi.org/10.1016/s0304-3975(00)00408-4openalex-snapshot
Time-minimal paths amidst moving obstacles in three dimensions
inferred← citeshttps://doi.org/10.1016/s0921-8890(96)00051-6openalex-snapshot
Intelligent collision avoidance by fuzzy logic control
inferred← citeshttps://doi.org/10.1017/cbo9780511546877.009openalex-snapshot
Extensions of Basic Motion Planning
inferred← citeshttps://doi.org/10.1017/s0263574700019111openalex-snapshot
Parallel computation of configuration space
inferred← citeshttps://doi.org/10.1017/s0263574708004888openalex-snapshot
Collision course by transformation of coordinates and plane decomposition
inferred← citeshttps://doi.org/10.1109/70.388776openalex-snapshot
Time-minimum routes in time-dependent networks
inferred← citeshttps://doi.org/10.1109/cdc.1997.657848openalex-snapshot
Geometric algorithms for conflict detection/resolution in air traffic management
inferred← citeshttps://doi.org/10.1109/icitisee48480.2019.9003896openalex-snapshot
A Novel Ant Colony optimization Algorithm for Waste Collection Problem
inferred← citeshttps://doi.org/10.1109/icra.2012.6225074openalex-snapshot
Time-optimal multi-stage motion planning with guaranteed collision avoidance via an open-loop game formulation
inferred← citeshttps://doi.org/10.1109/iros.1992.587372openalex-snapshot
Route Planning For Mobile Robots Amidst Moving Obstacles
inferred← citeshttps://doi.org/10.1109/iros.1993.583791openalex-snapshot
Motion planning amidst dynamic obstacles in three dimensions
inferred← citeshttps://doi.org/10.1109/oceans.2014.7003009openalex-snapshot
Experimental results on obstacle avoidance for high speed unmanned surface vehicles
inferred← citeshttps://doi.org/10.1109/oceanssyd.2010.5603868openalex-snapshot
Towards the use of a team of USVs for civilian harbour protection: The problem of intercepting detected menaces
inferred← citeshttps://doi.org/10.1109/robot.1992.220041openalex-snapshot
On motion planning amidst transient obstacles
inferred← citeshttps://doi.org/10.1109/robot.1993.292120openalex-snapshot
Motion planning using transient pixel representations
inferred← citeshttps://doi.org/10.1109/robot.1994.350964openalex-snapshot
Motion planning amidst planar moving obstacles
inferred← citeshttps://doi.org/10.1109/robot.2009.5152860openalex-snapshot
Time-bounded lattice for efficient planning in dynamic environments
inferred← citeshttps://doi.org/10.1109/tro.2009.2022441openalex-snapshot
Reactive Path Planning in a Dynamic Environment
inferred← citeshttps://doi.org/10.1145/1377676.1377682openalex-snapshot
Maximum thick paths in static and dynamic environments
inferred← citeshttps://doi.org/10.1163/156855393x00311openalex-snapshot
Motion planning in time-varying domains: the case of cyclic motions
inferred← citeshttps://doi.org/10.1177/0278364908097581openalex-snapshot
Planning Time-Minimal Safe Paths Amidst Unpredictably Moving Obstacles
inferred← citeshttps://doi.org/10.1177/0278364917707252openalex-snapshot
Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles
inferred← citeshttps://doi.org/10.1177/02783649922066529openalex-snapshot
Navigating a Robotic Wheelchair in a Railway Station during Rush Hour
inferred← citeshttps://doi.org/10.1177/027836499401300502openalex-snapshot
Motion Planning Amid Transient Obstacles
inferred← citeshttps://doi.org/10.1177/027836499701600605openalex-snapshot
On Motion Planning in Changing, Partially Predictable Environments
inferred← citeshttps://doi.org/10.1177/027836499801700706openalex-snapshot
Motion Planning in Dynamic Environments Using Velocity Obstacles
inferred← citeshttps://doi.org/10.2316/journal.206.2008.2.206-3123openalex-snapshot
KINEMATICS-BASED CHARACTERIZATION OF THE COLLISION COURSE
inferred← citeshttps://doi.org/10.31763/ijrcs.v2i4.816openalex-snapshot
Robotic Motion Planning in Dynamic Environments and its Applications
inferred← citeshttps://doi.org/10.3182/20100906-3-it-2019.00027openalex-snapshot
Towards the Use of a Team of USVs for Civilian Harbour Protection: USV Interception of Detected Menaces
inferred← citeshttps://doi.org/10.3390/aerospace6060068openalex-snapshot
Trajectory Planning in Time-Varying Adverse Weather for Fixed-Wing Aircraft Using Robust Model Predictive Control
inferred← citeshttps://doi.org/10.5815/ijmecs.2013.08.08openalex-snapshot
Mobile Robot Motion Using Cellular Automaton Model to Avoid Transient Obstacles
inferred← citeshttps://doi.org/10.7210/jrsj.11.1124openalex-snapshot
Special Issue: Robot Behavior. Strategy & Algorithm. Motion Strategies and Algorithms.
inferred← citeshttps://doi.org/10.7210/jrsj.15.249openalex-snapshot
On-line Motion Planning of an Autonomous Mobile Robot to Avoid Multiple Moving Obstacles Based on the Prediction of Their Future Trajectories.
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