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An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning
IEEE Transactions on Vehicular TechnologyEfficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle path planning is proposed in this paper to achieve optimized ...
Zhi Lin +4 more
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GMR-RRT*: Sampling-Based Path Planning Using Gaussian Mixture Regression
IEEE Transactions on Intelligent Vehicles, 2022Mobile robot autonomous path planning is an essential factor for its wide deployment in real-world applications. Conventional sampling-based algorithms have gained tremendous success in the path planning field, but they usually take much time to find the
Jiankun Wang +3 more
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IEEE Transactions on Intelligent Vehicles, 2022
With the rapid development of autonomous driving technology, collision avoidance has become a research hotspot since it has the potential to increase safety.
Hongcai Li +5 more
semanticscholar +1 more source
With the rapid development of autonomous driving technology, collision avoidance has become a research hotspot since it has the potential to increase safety.
Hongcai Li +5 more
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2025 International Conference on Emerging Technologies in Engineering Applications (ICETEA)
Unmanned aerial vehicles (UAVs), commonly known as drones, have grown in popularity and utility in a variety of applications, including surveillance, agriculture, disaster management, and communication. Path planning for unmanned aerial vehicles (UAVs) in a networked environment is a significant factor that influences the efficiency and efficacy of UAV
Anshu Vashisth +2 more
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Unmanned aerial vehicles (UAVs), commonly known as drones, have grown in popularity and utility in a variety of applications, including surveillance, agriculture, disaster management, and communication. Path planning for unmanned aerial vehicles (UAVs) in a networked environment is a significant factor that influences the efficiency and efficacy of UAV
Anshu Vashisth +2 more
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Neural RRT*: Learning-Based Optimal Path Planning
IEEE Transactions on Automation Science and Engineering, 2020Rapidly random-exploring tree (RRT) and its variants are very popular due to their ability to quickly and efficiently explore the state space. However, they suffer sensitivity to the initial solution and slow convergence to the optimal solution, which ...
Jiankun Wang +4 more
semanticscholar +1 more source
Proceedings of the 2006 international symposium on Practical cognitive agents and robots - PCAR '06, 2006
The three essential requirements of sensor based robotic arm manipulation and mobile robot navigation are localization (position and pose determination), environmental mapping (forming a model of the working environment) and trajectory (for manipulators) or path (for mobile robots) planning.
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The three essential requirements of sensor based robotic arm manipulation and mobile robot navigation are localization (position and pose determination), environmental mapping (forming a model of the working environment) and trajectory (for manipulators) or path (for mobile robots) planning.
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Human-Aware Dynamic Path Planning
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021This study is related to human-aware navigation (HAN) of a robot moving in a 2D plane. During the navigation process, the robot first finds a global path given start and goal points and it also dynamically scans the environment for possible new obstacles and rearranges its path plan as to those encountered ones.
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2020
Path Planning refers to the search for the most optimal path that is subjected to a certain optimization criteria or criterion (shortest walking path, shortest travel time, etc.) and could avoid obstacles from an initial state to a target state. Path planning is one of the key technologies of unmanned systems.
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Path Planning refers to the search for the most optimal path that is subjected to a certain optimization criteria or criterion (shortest walking path, shortest travel time, etc.) and could avoid obstacles from an initial state to a target state. Path planning is one of the key technologies of unmanned systems.
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1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 2002
Path planning is dynamic when the path is continually recomputed as more information becomes available. A computational framework for dynamic path planning is proposed which has the ability to provide navigational directions during the computation of the plan. Path planning is performed using a potential field approach.
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Path planning is dynamic when the path is continually recomputed as more information becomes available. A computational framework for dynamic path planning is proposed which has the ability to provide navigational directions during the computation of the plan. Path planning is performed using a potential field approach.
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Path Planning for Virtual Bronchoscopy
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006We have developed an automated path planning method, which enables virtual bronchoscopic 3D multidetector computed tomography (MDCT) image analysis and follow on image-guided bronchoscopy. The method fundamentals are novel combination of distance transformation and snake-based models.
Mohamadreza, Negahdar +3 more
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