Pothole detection and inter vehicular communication

Hegde, Shambhu; Mekali, Harish V.; Varaprasad, G.

doi:10.1109/icves.2014.7063729

Cited by 24 publications

(5 citation statements)

References 12 publications

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“…Such magnitudes are used for the measurement of the difference between two Z-axis acceleration amplitudes to obtain the identification of potholes. Ultrasonic sensors are used for pothole detection by a smart transport system management via the Zigbee module [78] and for a cost-effective and robust method that can be used for potholes and humps detection and dimensions (in depth and height) analysis by integrating GPS and open-source application [67]. Kinect sensors are also used in combination with an RGB and an IR camera for capturing RGB images, which can systematically analyse programming codes [79].…”

Section: Discussionmentioning

confidence: 99%

ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation

Mei

Zampetti

Mascio

et al. 2022

Sensors

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Maintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and interventions should be provided for specific management plans. This paper focuses on the setting of an Unmanned Ground Vehicle (UGV) for road pavement distress monitoring, and the Rover for bituminOus pAvement Distress Survey (ROADS) prototype is presented in this paper. ROADS has a multisensory platform fixed on it that is able to collect different parameters. Navigation and environment sensors support a two-image acquisition system which is composed of a high-resolution digital camera and a multispectral imaging sensor. The Pavement Condition Index (PCI) and the Image Distress Quantity (IDQ) are, respectively, calculated by field activities and image computation. The model used to calculate the IROADS index from PCI had an accuracy of 74.2%. Such results show that the retrieval of PCI from image-based approach is achievable and values can be categorized as “Good”/“Preventive Maintenance”, “Fair”/“Rehabilitation”, “Poor”/“Reconstruction”, which are ranges of the custom PCI ranting scale and represents a typical repair strategy.

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Section: Discussionmentioning

confidence: 99%

ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation

Mei

Zampetti

Mascio

et al. 2022

Sensors

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“…According to the flowchart in Figure 1, the working concept of this tool is that the system is activated by turning on the contacts on the motorbike [10], [11], [12] . The circuit system will get voltage from the motorcycle battery.…”

Section: Analysis Softwarementioning

confidence: 99%

Security System For Motorcycle Using Raspberry Pi and Fingerprint With Mobile-Based Finite State Machine (FSM) Method

Muzawi¹,

Efendi²,

Rio³

et al. 2023

iiroi

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Data from the BPS (Central Statistical Agency) show that private car theft in Indonesia is on the rise year after year, especially for two-wheeled vehicles or motorcycles. According to the BPS Crime Statistics Report, there were around 35,000 motor vehicle theft events in Indonesia in 2017 and 38,000 instances in 2018. People's concerns regarding the security of these two-wheeled vehicles are growing as a result. This study presents a fingerprint- and Raspberry Pi-based motorcycle security system. Bikes may be monitored, and their ignitions can be controlled remotely using a mobile-based Finite State Machine (FSM) technique. The Neo 6 GPS module will send longitude and latitude in real time to the Android smartphone application, which generates a map or location point so that it will send notifications if there is movement on the motorcycle. The voltage sensor connected to the Raspberry Pi circuit can detect the motor voltage. A system that uses the FSM (Finite State Machine) approach to identify changes in location data from designated parking lots and deliver messages to a push bullet is the study's output. Controlling the motorcycle ignition, which may remotely switch off the motorcycle when one is taken, is another way to provide early notice.

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“…The system in [14] consisted on a prototype robot vehicle with one ultrasonic sensor and a Zigbee communication module. It was designed to detect potholes with a minimum depth of 1 inch and to broadcast warning messages to vehicles in its vicinity (100m).…”

Section: A Ultrasonic-based Pothole Detectorsmentioning

confidence: 99%

Learning to Automatically Catch Potholes in Worldwide Road Scene Images

Yebes

Montero²,

Arriola³

2021

IEEE Intell. Transport. Syst. Mag.

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Among several road hazards that are present in any paved way in the world, potholes are one of the most annoying and involving higher maintenance costs. There is an increasing interest on the automated detection of these hazards enabled by technological and research progress. Our work tackled the challenge of pothole detection from images of real world road scenes. The main novelty resides on the application of latest progress in Artificial Intelligence to learn the visual appearance of potholes. We built a large dataset of images with pothole annotations. They contained road scenes from different cities in the world, taken with different cameras, vehicles and viewpoints under varied environmental conditions. Then, we fine-tuned four different object detection models based on Deep Neural Networks. We achieved mean average precision above 75% and we used the pothole detector on the Nvidia DrivePX2 platform running at 5-6 frames per second. Moreover, it was deployed on a real vehicle driving at speeds below 60 km/h to notify the detected potholes to a given Internet of Things platform as part of AUTOPILOT H2020 project.

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Pothole detection and inter vehicular communication

Cited by 24 publications

References 12 publications

ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation

ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation

Security System For Motorcycle Using Raspberry Pi and Fingerprint With Mobile-Based Finite State Machine (FSM) Method

Learning to Automatically Catch Potholes in Worldwide Road Scene Images

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