Research on Unmanned Vehicle Material Security Path Planning Model in Plateau Area

In a specific operational area, we aim to establish a comprehensive logistics support and transportation system linking "rear area - transit warehouse - forward area" utilizing unmanned ground vehicles (UGVs) of various models. Initially, following reconnaissance, candidate locations for the rear area, forward area, and transit warehouse were identified, along with three-dimensional terrain data of the operational zone, technical specifications of UGVs, and operational protocols. Subsequently, an indicator system for UGV logistics support path planning was constructed, primarily defining metrics for path safety, stability, and time efficiency. Combined with constraints such as power consumption, maximum traversable slope limitations, and movement regulations of UGVs, a multi-objective path planning evaluation model was established. Finally, an improved A* algorithm was employed to determine the optimal route. This model provides scientific reference for UGV support missions in plateau regions.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ricai64321.2024.10911358
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Unmanned Vehicle Material Security Path Planning Model in Plateau Area

Rui Dong, Xiuhe Li, Haiyan Zhang, Haoran Li et al.
Medical Research and Treatments
article

Research on Unmanned Vehicle Material Security Path Planning Model in Plateau Area

Rui Dong, Xiuhe Li, Haiyan Zhang, Haoran Li, Rui Dong, Hongguang Yang, Jinhe Ran
article en

Abstract

In a specific operational area, we aim to establish a comprehensive logistics support and transportation system linking "rear area - transit warehouse - forward area" utilizing unmanned ground vehicles (UGVs) of various models. Initially, following reconnaissance, candidate locations for the rear area, forward area, and transit warehouse were identified, along with three-dimensional terrain data of the operational zone, technical specifications of UGVs, and operational protocols. Subsequently, an indicator system for UGV logistics support path planning was constructed, primarily defining metrics for path safety, stability, and time efficiency. Combined with constraints such as power consumption, maximum traversable slope limitations, and movement regulations of UGVs, a multi-objective path planning evaluation model was established. Finally, an improved A* algorithm was employed to determine the optimal route. This model provides scientific reference for UGV support missions in plateau regions.

National University of Defense Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 50%
Medical Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.