A Driving Warning System for Explosive Transport Vehicles Based on Object Detection Algorithm

Due to the flammable and explosive nature of explosives, there are significant potential hazards and risks during transportation. During the operation of explosive transport vehicles, there are often situations where the vehicles around them approach or change lanes abnormally, resulting in insuffic...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 24; no. 19; p. 6339
Main Authors: Sun, Jinshan, Zheng, Ronghuan, Liu, Xuan, Jiang, Weitao, Jia, Mutian
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 30.09.2024
MDPI
Subjects:
Accuracy
Algorithms
Cameras
cellular automata
Decision-making
Equipment and supplies
Explosions
explosive transport vehicle
Explosives
Game theory
Gases
intelligent recognition
Motor vehicles
Software
Telematics
Vehicles
YOLOv4 object detection algorithm
China
YOLOv4 object detection algorithm
explosive transport vehicle
intelligent recognition
cellular automata
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary:Due to the flammable and explosive nature of explosives, there are significant potential hazards and risks during transportation. During the operation of explosive transport vehicles, there are often situations where the vehicles around them approach or change lanes abnormally, resulting in insufficient avoidance and collision, leading to serious consequences such as explosions and fires. Therefore, in response to the above issues, this article has developed an explosive transport vehicle driving warning system based on object detection algorithms. Consumer-level cameras are flexibly arranged around the vehicle body to monitor surrounding vehicles. Using the YOLOv4 object detection algorithm to identify and distance surrounding vehicles, using a game theory-based cellular automaton model to simulate the actual operation of vehicles, simulating the driver’s decision-making behavior when encountering other vehicles approaching or changing lanes abnormally during actual driving. The cellular automaton model was used to simulate two scenarios of explosive transport vehicles equipped with and without warning systems. The results show that when explosive transport vehicles encounter the above-mentioned dangerous situations, the warning system can timely issue warnings, remind drivers to make decisions, avoid risks, ensure the safety of vehicle operation, and verify the effectiveness of the warning system.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24196339