Real-Time Pothole Detection During Rainy Weather Using Dashboard Cameras for Driverless Cars

Real-Time Pothole Detection During Rainy Weather Using Dashboard Cameras for Driverless Cars

DOI: 10.4018/978-1-6684-8618-4.ch023
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Abstract

The primary form of transportation is roads. But because of the high volume of traffic on the roads and other environmental conditions, regular maintenance is required. This maintenance is frequently neglected as it is impossible to watch over every location, or just out of ignorance. Potholes are created as a result, which increases traffic and increases the likelihood of accidents. However, there are many methods/systems available which can be used to detect potholes using various image processing methods. The accuracy of these systems is highly affected in rainy weather. In this chapter, a system is designed to detect pothole during rainy season effectively. This system also collects the location of potholes, which can be further provided to authorities for maintenance work. The proposed system can be used for driverless cars.
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Literature Review

To make life easier for individuals, automatic pothole detecting systems utilizing different sensors are being researched. Vibration-based approaches, laser-scanning methods, and vision-based methods are some of the existing studies. The field of pothole detection already has several technology in place. The list above includes a few of them. Everyone approaches the challenge similarly, just the sensor and its method of identifying the obstruction differ. Table 1 shows different approaches for Pothole detection. (Dhiman & Klette, 2019; Jog et al., 2021; Kim & Ryu, 2014; Kim et al., 2022; Koch & Brilakis, 2011; Sharma & Gupta, 2021; Sharma & Singh, 2022; Yu & Salari, 2011)

Table 1.
Pothole detection methods
TypeVibration basedLASER basedVision based
SensorAccelerometerLASERCamera
SensingWhile going through potholeWhile going through potholeWhile approaching pothole
CostLowModerateHigh
PrecisionLowAverageHIgh

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