Výsledky vyhledávání - "Random Tree algorithm"

Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm

Autoři: YU, Ning

Zdroj: Promet (Zagreb), Vol 36, Iss 6, Pp 1120-1132 (2024)
Promet-Traffic&Transportation
CODEN POMEEZ
Volume 36
Issue 6

Témata: road network planning, shortest path, growth guidance function, Transportation engineering, TA1001-1280, microcirculation traffic, fast search random tree algorithm

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/1cc939c2d3b248b89bcd3a287d1bd5b8

GVP-RRT: a grid based variable probability Rapidly-exploring Random Tree algorithm for AGV path planning

Autoři: Yaozhe Zhou Yujun Lu Liye Lv

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8273-8286 (2024)

Témata: Optimization algorithm, AGV, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64, Path planning, RRT

Přístupová URL adresa: https://doaj.org/article/cd0c995399384338b519a38449349ca7

Accurate usage analysis of a specific product based on Twitter user comments using random tree algorithm compared with AdaboostM1 algorithm

Autoři: K. Venkata Sriram Subash T. Poovizhi

Zdroj: Applications of Mathematics in Science and Technology ISBN: 9781003606659

RRT-based CPC: A configuration planning method for continuum robots using Rapidly-exploring Random Tree algorithm

Autoři: Qiqi Pan Hongbo Wang Yongfei Feng a další

Zdroj: Robotics and Autonomous Systems. 195:105190

Transformer-guided optimization of railway alignments using an adaptive rapidly-exploring random tree algorithm

Autoři: Xinjie Wan Hao Pu Paul Schonfeld a další

Zdroj: Applied Soft Computing. 185:113977

Research of the Possibilities of Using a Rapidly Exploring Random Tree Algorithm in Solving Problems of Movement Planning of Autonomous Robots

Autoři: V. V. Golubov S. V. Manko

Zdroj: Mekhatronika, Avtomatizatsiya, Upravlenie. 25:19-30

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Optimization of Bi-directional Rapidly Exploring Random Tree Algorithm for Path Planning of Agricultural Mobile Robots

Autoři: Sisi Liu Zhan Zhao Qianqian Zhou

Zdroj: 2025 Toronto, Ontario, Canada July 13-16, 2025.

Bi-Mincost-Rrt*: A Novel Target-Biased Bidirectional Random Tree Algorithm for Uav Trajectory Planning in 3d Complex Environments

Autoři: Pengpeng Zhi Haoxuan Zhang Fei Ling a další

Rapidly‐Exploring Random Tree Algorithm Based on Environmental Fuzzy Controller

Autoři: Bo Chen Yanhong Shi Yunming Wang a další

Zdroj: Electronics Letters. 61

Knobr-Rrt-Connect: A Bidirectional Rapidly-Exploring Random Tree Algorithm Guided by Key Nodes on the Obstacle Bounding Rectangles

Autoři: Haiyang Jiang Yiming Fang Dongliang Zhao a další

A New Dynamic Window Approach Algorithm with Informed Rapidly Exploring Random Tree* Algorithm Implementation on a Robot Operating System

Autoři: Jin Wang Chen Zhu Yining Zhang

Zdroj: 2023 4th International Conference on Control, Robotics and Intelligent System. :35-40

Safety-Critical Path Planning of Autonomous Surface Vehicles Based on Rapidly-Exploring Random Tree Algorithm and High Order Control Barrier Functions

Autoři: Yihe Li Zhouhua Peng Lu Liu a další

Zdroj: 2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE). :203-208

Random Tree Algorithm to Analyse the Relation between Type of Traumatic Dental Injuries and Its Demographic and Predisposing Factors - A Cross-Sectional Study

Autoři: Mohammad Kamran Khan Mahendra Kumar Jindal

Zdroj: Indian Journal of Dental Research, Vol 34, Iss 2, Pp 114-118 (2023)

Témata: Male, Adolescent, machine learning (ml), 4. Education, random tree classifier, Tooth Injuries, RK1-715, artificial intelligence (ai), Overbite, 3. Good health, type of dental trauma, Causality, Cross-Sectional Studies, Artificial Intelligence, Dentistry, predisposing factors, Prevalence, Humans, Female, Child, 10. No inequality, Algorithms, Demography

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37787195
https://doaj.org/article/87f56d04e65f4e92b71a45f3cf371417

A Rapidly-Exploring Random Tree Algorithm with Reduced Random Map Size

Autoři: Aphilak Lonklang Janos Botzheim

Zdroj: 2023 9th International Conference on Automation, Robotics and Applications (ICARA). :356-361

Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments

Autoři: Wenqiang Wu Chuixin Kong Zhongmin Xiao a další

Zdroj: Machines, Vol 13, Iss 4, p 274 (2025)

Témata: heuristic evaluation, optimal path planning, TJ1-1570, Mechanical engineering and machinery, path planning, RRT

Přístupová URL adresa: https://doaj.org/article/2bc3cc1d38304d70a7704172756f0f58

Modified intelligent bidirectional random tree algorithm for planning the movement of anthropomorphic manipulators

Autoři: I.S. Dovgopolik K. Artemov O.I. Borisov a další

Zdroj: Izvestiâ vysših učebnyh zavedenij. Priborostroenie. 65:185-193

An Improved Rapidly Exploring Random Tree Algorithm for Path Planning in Configuration Spaces with Narrow Channels

Autoři: Noel, Mathew Mithra Chawla, Akshay

Témata: FOS: Computer and information sciences, Computer Science - Robotics, FOS: Electrical engineering, electronic engineering, information engineering, I.2.9, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Robotics (cs.RO)

Přístupová URL adresa: http://arxiv.org/abs/2411.00357

Prediction of Induced Voltage and Current of 500kV Multi-circuit Transmission Lines Based on Extreme Random Tree Algorithm

Autoři: Ping Huang Letian Wang Miao Long a další

Zdroj: 2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE). :1-7

Online Trajectory Planning Strategy for UAV in Dynamic Threats Based on Bug-Rapidly-exploring Random Tree Algorithm

Autoři: YanJie Min Kun Wu Kunpeng Li

Zdroj: 2021 China Automation Congress (CAC). :4814-4820

Path Planning and Obstacle Avoidance for Automated Driving Systems Using Rapidly-Exploring Random Tree Algorithm

Autoři: Kuen Yehliu

Zdroj: SAE International Journal of Connected and Automated Vehicles. :225-233

Přístupová URL adresa: https://www.sae.org/publications/technical-papers/content/12-04-03-0018/