paper-with-me

홈 › Papers

An Intelligent System to Detect, Avoid and Maintain Potholes: A Graph Theoretic Approach

2013-05-23 · Shreyas Balakuntala, Sandeep Venkatesh

In this paper, we propose a conceptual framework where a centralized system, classifies the road based upon the level of damage. The centralized system also identifies the traffic intensity thereby prioritizing the roads that need quick action to be taken upon. Moreover, the system helps the driver to detect the level of damage to the road stretch and route the vehicle from an alternative path to its destination. The system sends a feedback to the concerned authorities for a quick response to the condition of the roads. The system we use comprises a laser sensor and pressure sensors in shock absorbers to detect and quantify the intensity of the pothole, a centralized server which maintains a database of locations of all the potholes which can be accessed by another unit inside the vehicle. A point to point connection device is also installed in vehicles so that, when a vehicle detects a pothole which is not in the database, all the vehicles within a range of 20 meters are warned about the pothole. The system computes a route with least number of potholes which is nearest to the desired destination . If the destination is unknown, then the system will check for potholes in the current road and displays the level of damage. The system is flexible enough that the destination can be added, removed or changed any time during the travel. The best possible route is suggested by the system upon the alteration. We prove that the algorithm returns an efficient path with least number of potholes.

📄 PDF Abstract BibTeX arXiv:1305.5522

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

SBP-YOLO:A Lightweight Real-Time Model for Detecting Speed Bumps and Potholes toward Intelligent Vehicle Suspension Systems

2025-08-02 · Chuanqi Liang, Jie Fu, Miao Yu, Lei Luo arxiv

Speed bumps and potholes are the most common road anomalies, significantly affecting ride comfort and vehicle stability. Preview-based suspension control mitigates their impact by detecting such irregularities in advance…

Knowledge DistillationObject Detection

Intelligent Road Anomaly Detection with Real-time Notification System for Enhanced Road Safety

2025-05-13 · Ali Almakhluk, Uthman Baroudi, Yasser El-Alfy

This study aims to improve transportation safety, especially traffic safety. Road damage anomalies such as potholes and cracks have emerged as a significant and recurring cause for accidents. To tackle this problem and i…

Anomaly Detection

RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads

2023-08-07 · Guruprasad Parasnis, Anmol Chokshi, Vansh Jain, Kailas Devadkar

This research paper presents a novel approach to pothole detection using Deep Learning and Image Processing techniques. The proposed system leverages the VGG16 model for feature extraction and utilizes a custom Siamese n…

Computational Efficiencyobject-detectionObject DetectionTransfer Learning+1

iWatchRoad: Scalable Detection and Geospatial Visualization of Potholes for Smart Cities

2025-08-13 · Rishi Raj Sahoo, Surbhi Saswati Mohanty, Subhankar Mishra arxiv

Potholes on the roads are a serious hazard and maintenance burden. This poses a significant threat to road safety and vehicle longevity, especially on the diverse and under-maintained roads of India. In this paper, we pr…

An Enhanced YOLOv8 Model for Real-Time and Accurate Pothole Detection and Measurement

2025-05-07 · Mustafa Yurdakul, Şakir Tasdemir

Potholes cause vehicle damage and traffic accidents, creating serious safety and economic problems. Therefore, early and accurate detection of potholes is crucial. Existing detection methods are usually only based on 2D …