Zobrazeno 1 - 10
of 512
pro vyhledávání: '"A-Star Algorithm"'
Publikováno v:
IJAIT (International Journal of Applied Information Technology), Vol 8, Iss 1 (2024)
Artificial intelligence in a game plays a vital role in enhancing the player's gaming experience, especially in single-player games. NPCs are the primary means of interaction in single-player games, assisting and guiding players like interactions wit
Externí odkaz:
https://doaj.org/article/cf4bcb422f184ce19f9630830af98cfc
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Path planning is one of the key elements for achieving rapid and stable flight when unmanned aerial vehicles (UAVs) are conducting monitoring and inspection tasks at ultra-low altitudes or in orchard environments. It involves finding the optimal and
Externí odkaz:
https://doaj.org/article/55eb476bbad64270946ebb58195b5050
Publikováno v:
Alexandria Engineering Journal, Vol 88, Iss , Pp 91-104 (2024)
This research addresses the limitations of existing autonomous vehicle path planning algorithms, notably their slow processing speeds and suboptimal route efficiency. We introduce an innovative path planning algorithm that synergizes the A* algorithm
Externí odkaz:
https://doaj.org/article/c184dae23d054d35838db96a8c340068
Publikováno v:
Hangkong gongcheng jinzhan, Vol 14, Iss 6, Pp 63-72 (2023)
At present,the research on UAV air combat mainly considers the fully autonomous decision-making maneuver algorithm of UAV,and the research on the air combat maneuver decision-making under the limited supervision decision of UAV is rare,let alone the
Externí odkaz:
https://doaj.org/article/55e22e0d37ba4602bc14e3cd38f610e0
Publikováno v:
Energies, Vol 17, Iss 21, p 5364 (2024)
The operational areas for unmanned aerial vehicles (UAVs) used in power line inspection are highly complex; thus, the best path planning under known obstacles is of significant research value for UAVs. This paper establishes a three-dimensional spati
Externí odkaz:
https://doaj.org/article/8fc7088b91014f9ebc64660a620449c7
Autor:
Dequan Zhao, Li Ni, Kefa Zhou, Zhihong Lv, Guangjun Qu, Yue Gao, Weiting Yuan, Qiulan Wu, Feng Zhang, Qing Zhang
Publikováno v:
Sensors, Vol 24, Iss 17, p 5643 (2024)
To address the problem of ignoring unpaved roads when planning off-road emergency rescue paths, an improved A* algorithm that incorporates road factors is developed to create an off-road emergency rescue path planning model in this study. To reduce t
Externí odkaz:
https://doaj.org/article/f1f860547bb54d7ca2b7547ce9298449
Autor:
Tiangen Chang, Guofu Tian
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5582 (2024)
Aiming to improve on the poor smoothness and longer paths generated by the traditional Hybrid A-star algorithm in unstructured environments with multiple obstacles, especially in confined areas for autonomous vehicles, a Hybrid A-star path planning m
Externí odkaz:
https://doaj.org/article/bf5e8f0e321f42afaf9c2b5a8bb02cf9
Publikováno v:
Sensors, Vol 24, Iss 6, p 1784 (2024)
In the blood sample management pipeline environment, we have innovatively improved the traditional A-star algorithm to enhance the efficiency of mobile robots. This study employs a grid environmental modeling approach to accurately simulate medical t
Externí odkaz:
https://doaj.org/article/f7d18bb0dc8745e39f4dd7466af016ae
Autor:
Ouardi Amine, Mestari Mohammed
Publikováno v:
IEEE Access, Vol 11, Pp 18356-18373 (2023)
Heuristic search algorithms are informed search strategies that use heuristics to estimate the minimal cost of the path from the current state to the goal. Using this additional knowledge, this type of algorithms can distinguish non-goal states, and
Externí odkaz:
https://doaj.org/article/864712a6be40449da9204306aca2db44
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 17, Iss 6, Pp 209-215 (2022)
ObjectivesIn order to solve the problems of safety and smoothness in the path planning of an unmanned surface vehicle (USV), a path planning method with a controllable distance from obstacles is proposed.MethodsFirst, the raster environment informati
Externí odkaz:
https://doaj.org/article/c049a2250a7e455d958a0119b7b2ed33