A Collaborative Reservation Mechanism of Multiple Parking Lots Based on Dynamic Vehicle Path Planning by Yuting Xiao, Zhen Cai, Jinglei Li, Mangui Liang, Xiaoyu Long

“…In order to solve this problem, a collaborative reservation mechanism based on dynamic vehicle path planning is proposed in this paper. By the aid of the dedicated backbone network with a clear division of work responsibilities, the information of traffic and parking lots is collected in real time, based on which the travel time prediction and empty spaces evaluation are executed separately, and then the optimal decision of path planning and parking lot selection can be made and adjusted dynamically by a step-by-step acknowledgement mechanism. …”
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Adaptive Path Planning for Multi-Drone Systems Based on SFS, DPF, and Learning Based Refinement by Srwa Ahmed Mustafa, Amin Salih Kakshar

“…Path planning is critical for multi-drone systems to let drones fly through different areas by minimizing travel time and avoiding all possible obstacles. …”
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Global path planning algorithm for mining vehicles integrating simplified visibility graph and A* algorithm by ZHANG Chuanwei, LU Siyan, QIN Peilin, ZHOU Rui, ZHAO Ruiqi, YANG Jiajia, ZHANG Tianle, ZHAO Cong

“…The visual tangent points were sequentially stored in the OPEN list as nodes, and nodes were selected for the CLOSED list based on the A* algorithm's evaluation function to ensure the shortest path. This process continued until the endpoint appeared in the OPEN list, resulting in the optimal path points being stored while the remaining nodes in the OPEN list were deleted. …”
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A Three-Dimensional Coverage Path Planning Method for Robots for Farmland with Complex Hilly Terrain by Hanbing Jiang, Ping Yang

“…The experimental results show that this paper’s algorithm can complete full coverage tasks in hilly terrain farmland, and compared with other algorithms, it has obvious advantages in path length, total elevation difference, and other aspects, effectively reducing the energy consumption of the coverage task. …”
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Research on the Digital Level Calculation and Construction Path of Fishery Under the Background of “Blue Granary” Strategy by LIU Dan, CHEN Qiuying, MA Naiyi

“…It was found there are significant differences in efficiency, stability, and input-output optimization among different regions. …”
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VNS-BA*: An Improved Bidirectional A* Path Planning Algorithm Based on Variable Neighborhood Search by Peng Li, Ying Li, Xuesong Dai

“…Then, the bidirectional search strategy is optimized by using the current nodes of the opposite path and the global target point, enabling the two paths to meet in the middle of the map. …”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…Simulation results demonstrate that the control scheme proposed in this paper has superior path tracking accuracy and can effectively avoid obstacles while adapting to different safe distance settings and obstacle positions.…”
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Anti-disturbance predictive control for path tracking of unmanned agricultural vehicles based on safety distance by HUANG Zhenzhen, SUN Jinlin, DING Shihong

“…Simulation results demonstrate that the control scheme proposed in this paper has superior path tracking accuracy and can effectively avoid obstacles while adapting to different safe distance settings and obstacle positions.…”
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Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks by Yuchu Ji, Rentong Sun, Yang Wang, Zijian Zhu, Zhenghao Liu

“…This paper proposes a deeply integrated model called CAS-GNN, aiming to solve the collaborative path-planning problem for multi-agent vehicles operating in dynamic environments. …”
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Metro Passenger Path Choice Behavior during Single-line Operation Interruption in Risk Emergencies by GUO Jingfan, TIAN Yuanyuan, LI Juncheng, HE Jiantao, LUO Qixiang

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Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

“…The proposed region segmentation algorithm and cumulative reward model have been tested in different DRL techniques, where we show that the cumulative reward model can improve the training efficiency of deep neural networks by 30.8% and the region segmentation algorithm enables deep Q-network agent to avoid 99% of local optimal traps and assists deep deterministic policy gradient agent to avoid 92% of local optimal traps.…”
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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

“…Subsequently, by comprehensively considering energy, time, and path length, the final evaluation value is formed to determine the optimal path. …”
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Kinematic Constrained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of Wheeled Mobile Robots by Sisi Liu, Zhan Zhao, Jun Wei, Qianqian Zhou

“…Once the distance between the new node and the target is within a certain threshold, the tree growth stops and a target connection based on minimum turning radius arc is proposed to generate an initial complete random path. The most significant difference from traditional RRT-based methods is that the proposed method optimizes the path based on Dubins curves through a post waypoint shift after a random path is generated, rather than through parent node selection and rewiring during the exploring tree growth. …”
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Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…Considerable effort is required to fine-tune the system to achieve optimal performance, which directly affects the accuracy of the path tracking and the results in the cumbersome task of selecting an appropriate goal point for the tracking path. …”
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An Efficient Path Planning Algorithm Based on Delaunay Triangular NavMesh for Off-Road Vehicle Navigation by Ting Tian, Huijing Wu, Haitao Wei, Fang Wu, Jiandong Shang

“…Finally, an improved A* path planning algorithm is developed to find the optimal off-road mobility path from a start point to an end point, and identify a path triangle chain with which to calculate the shortest path. …”
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Study on correlation and path analysis between SPAD values and chlorophyll concentrations in three species of Berberidaceae leaves by LU Xiaoping, YANG Bingxian, XU Chanjuan, TIAN Jingkui, ZHANG Lin

“…Previous researches have shown high correlation between leaf chlorophyll concentration and SPAD values, obtained by SPAD-502Plus chlorophyll meter. Path analysis also has been used for analyzing the direct effect and indirect effect among various independent variables and dependent variable.There exist large differences in leaf characteristics among three species of Berberidaceae i. e Mahonia bealei(Fort.) …”
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Measurement Along the Path of Unmanned Aerial Vehicles for Best Horizontal Dilution of Precision and Geometric Dilution of Precision by Yanwu Ding, Dan Shen, Khanh Pham, Genshe Chen

“…The objective is to determine optimal UAV positions along the flight path that minimize the average HDOP and/or GDOP across the area. …”
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Anomalous Investigation of ILS Glide Path Signals on Runway 24 at the Jakarta Air Traffic Service Center by Muh Wildan, Priyo Wibowo, Mochamad Sugeng Wicaksono, Muhammad Arif Sulaiman, Eldo Tri Rahmadani, Muhamad Adimukti Prasojo

“…Precision landing guidance is critical for aircraft safety, yet recurring signal anomalies in the ILS Glide Path on runway 24 at the Jakarta Air Traffic Service Center raise concerns about approach and landing reliability. …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…To enhance UAV adaptability in such environments, improve rapid and efficient path planning capabilities, and reduce operational costs, this paper proposes a 3D UAV path planning algorithm based on an improved Dwarf Mongoose Optimization (DMO) algorithm enhanced with multiple strategies. …”
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Informative Path Planning Using Physics-Informed Gaussian Processes for Aerial Mapping of 5G Networks by Jonas F. Gruner, Jan Graßhoff, Carlos Castelar Wembers, Kilian Schweppe, Georg Schildbach, Philipp Rostalski

“…As a central element of the GP prediction, a quantitative evaluation of different mean functions is conducted. The most promising candidates are then integrated into an informative path-planning algorithm tasked with performing an efficient UAV-based cellular network mapping. …”
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