Route Planning for an Autonomous Robotic Vehicle Employing a Weight-Controlled Particle Swarm-Optimized Dijkstra Algorithm

Planning the path an autonomous robotic vehicle will take is an essential part of developing and utilizing such a system. The task is deciding on the best route and navigating technique to get the vehicle to its destination quickly and safely. The purpose of route planning is to select a route for t...

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Veröffentlicht in:	IEEE access Jg. 11; S. 1
Hauptverfasser:	Sundarraj, Subaselvi, Vijaya Kumar Reddy, R., Mahesh Babu, B., Lokesh, Gururaj Harinahalli, Flammini, Francesco, Natarajan, Rajesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Apexes Autonomous cars Autonomous vehicles Collision avoidance collision-free Dijkstra algorithm (DA) Dijkstra's algorithm DijkstraAlgorithm (DA) Heuristic algorithms Inertia Mobile robots Navigation Optimization Particle swarm optimization particle swarm optimization (PSO) Planning Robot sensing systems Robotic systems Robotic vehicles Robotics Robots Route planning Route planning (RP) Shortest-path problems Transportation weight-controlled particle swarm-optimized Dijkstra algorithm (WCPSODA)
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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