Novel pavement crack detection sensor using coordinated mobile robots

IF 7.6 1区工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY

Transportation Research Part C-Emerging Technologies Pub Date : 2025-02-07 DOI:10.1016/j.trc.2025.105021

Mohammad Alkhedher , Abdullah Alsit , Marah Alhalabi , Sharaf AlKheder , Abdalla Gad , Mohammed Ghazal

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引用次数: 0

Abstract

This paper proposes a novel pavement crack detection sensor using coordinated mobile robots. The comfort of drivers and the economic efficiency are negatively affected by pavement deterioration due to weather and constant vehicle use. Our proposed system consists of a drone and an unmanned ground robot that checks the quality of roads and shows where cracks and other problems are by measuring and reporting all kinds of irregularities in road surfaces in an autonomous manner. The design of our system is a one-of-a-kind dual-cart unmanned ground vehicle, with its first cart being a drone-mounting body. The drone is equipped with a high-resolution camera for the inspection of roads, cracks, and anomalies remotely using image processing and artificial intelligence. In the event that a crack is identified, a signal is sent to the robot, instructing it to carry out a more comprehensive crack inspection. This inspection involves the use of close-range laser depth and thermal cameras to generate the pavement cracks’ depth maps accurately. We incorporate a drone into our proposed coordinated mobile robots system to enable cheaper operations and provide aerial coverage, preventing traffic congestion. Our novel pavement crack detection sensor can be incorporated with governmental agencies such as the Ministry of Transportation, the Municipality, and Civil Defence entities. Pavement and road health surveys can be completed in over fifty percent less time using our coordinated mobile robots system.

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来源期刊

Transportation Research Part C-Emerging Technologies 工程技术-运输科技

CiteScore

15.80

自引率

12.00%

发文量

332

审稿时长

64 days

期刊介绍： Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.