Deep Learning Approach for Pothole Detection - A Systematic Review

Abstract

Potholes can cause serious damage to vehicles and pose a threat to road safety. Pothole detection can help identify and repair hazardous potholes before they cause accidents. Potholes can cause delays and disruptions to traffic flow, leading to increased travel time and reduced efficiency. By detecting and repairing potholes, traffic flow can be improved. Potholes are a sign of wear and tear on roads and can lead to more significant problems if left unaddressed. Early detection and repair of potholes can help prevent further damage to roads and infrastructure, reducing maintenance costs and prolonging the lifespan of the road. Pothole detection and repair can improve the overall condition of roads, providing a smoother and safer driving experience for drivers and passengers. By detecting and repairing potholes in a timely manner, resources can be better allocated, reducing the costs associated with road maintenance and improving efficiency. Henceforth, pothole detection is crucial for ensuring road safety, improving traffic flow, maintaining infrastructure, and optimizing resource allocation.