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相关论文: Intelligent Road Anomaly Detection with Real-time …

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Poor road conditions are a public nuisance, causing passenger discomfort, damage to vehicles, and accidents. In the U.S., road-related conditions are a factor in 22,000 of the 42,000 traffic fatalities each year. Although we often complain…

计算机与社会 · 计算机科学 2017-10-11 Umang Bhatt , Shouvik Mani , Edgar Xi , J. Zico Kolter

The following report contains information about a proposed technology by the authors, which consists of a device that sits inside of a vehicle and constantly monitors the car information. It can determine speed, g-force, and location…

计算机与社会 · 计算机科学 2017-11-23 Ashkan Yousefpour , Caleb Fung , Tam Nguyen , David Hong , Daniel Zhang

This research aims to know traffic anomalies as early as possible. A traffic anomaly refers to a generic incident on the road that influences traffic flow and calls for urgent traffic management measures. `Knowing'' the occurrence of a…

机器学习 · 计算机科学 2025-04-25 Haocheng Duan , Hao Wu , Sean Qian

Road anomalies can be defined as irregularities on the road surface or in the surface itself. Some may be intentional (such as speedbumps), accidental (such as materials falling off a truck), or the result of roads' excessive use or low or…

计算机视觉与模式识别 · 计算机科学 2024-12-09 Mohd Faiz Ansari , Rakshit Sandilya , Mohammed Javed , David Doermann

Among several road hazards that are present in any paved way in the world, potholes are one of the most annoying and also involving higher maintenance costs. There exists an increasing interest on the automated detection of these hazards…

计算机视觉与模式识别 · 计算机科学 2021-05-19 J. Javier Yebes , David Montero , Ignacio Arriola

A novel approach to detect road surface anomalies by visual tracking of a preceding vehicle is proposed. The method is versatile, predicting any kind of road anomalies, such as potholes, bumps, debris, etc., unlike direct observation…

计算机视觉与模式识别 · 计算机科学 2025-05-08 Petr Jahoda , Jan Cech

Public transportation plays a crucial role in our lives, and the road network is a vital component in the implementation of smart cities. Recent advancements in AI have enabled the development of advanced monitoring systems capable of…

分布式、并行与集群计算 · 计算机科学 2024-07-23 Davide Merolla , Vittorio Latorre , Antonio Salis , Gianluca Boanelli

With the advent of self-driving cars and autonomous robots, it is imperative to detect road impairments like cracks and potholes and to perform necessary evading maneuvers to ensure fluid journey for on-board passengers or equipment. We…

计算机视觉与模式识别 · 计算机科学 2018-10-12 Sukhad Anand , Saksham Gupta , Vaibhav Darbari , Shivam Kohli

Roads are connecting line between different places, and used daily. Roads' periodic maintenance keeps them safe and functional. Detecting and reporting the existence of potholes to responsible departments can help in eliminating them. This…

计算机视觉与模式识别 · 计算机科学 2021-07-15 Anas Al Shaghouri , Rami Alkhatib , Samir Berjaoui

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…

人工智能 · 计算机科学 2013-09-19 Shreyas Balakuntala , Sandeep Venkatesh

Road conditions play an important role in our everyday commute. With the proliferating number of vehicles on the road each year, it has become necessary to access the road conditions very frequently, this would ensure that the traffic also…

计算机视觉与模式识别 · 计算机科学 2025-11-18 Aswath Muthuselvam , Jeevak Raj S , Mohanaprasad K

Road transportation is of critical importance for a nation, having profound effects in the economy, the health and life style of its people. With the growth of cities and populations come bigger demands for mobility and safety, creating new…

机器学习 · 计算机科学 2019-08-28 M. Ricardo Carlos

Road anomaly detection plays a crucial role in road maintenance and in enhancing the safety of both drivers and vehicles. Recent machine learning approaches for road anomaly detection have overcome the tedious and time-consuming process of…

计算机视觉与模式识别 · 计算机科学 2025-04-21 Uthman Baroudi , Alala BaHamid , Yasser Elalfy , Ziad Al Alami

Advancement in transportation system has boosted speed of our lives. Meantime, road traffic accident is a major global health issue resulting huge loss of lives, properties and valuable time. It is considered as one of the reasons of…

其他计算机科学 · 计算机科学 2020-01-03 Supriya Sarker , Md. Sajedur Rahman , Mohammad Nazmus Sakib

Owing to the expeditious growth in the information and communication technologies, smart cities have raised the expectations in terms of efficient functioning and management. One key aspect of residents' daily comfort is assured through…

计算机与社会 · 计算机科学 2018-09-11 Amr S. El-Wakeel , Aboelmagd Noureldin , Hossam S. Hassanein , Nizar Zorba

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 present a complete…

计算机视觉与模式识别 · 计算机科学 2026-04-28 Rishi Raj Sahoo , Surbhi Saswati Mohanty , Subhankar Mishra

Potholes are one of the most common forms of road damage, which can severely affect driving comfort, road safety and vehicle condition. Pothole detection is typically performed by either structural engineers or certified inspectors. This…

计算机视觉与模式识别 · 计算机科学 2021-01-01 Rui Fan , Umar Ozgunalp , Yuan Wang , Ming Liu , Ioannis Pitas

Accident detection and traffic analysis is a critical component of smart city and autonomous transportation systems that can reduce accident frequency, severity and improve overall traffic management. This paper presents a comprehensive…

计算机视觉与模式识别 · 计算机科学 2023-07-25 Victor Adewopo , Nelly Elsayed , Zag Elsayed , Murat Ozer , Victoria Wangia-Anderson , Ahmed Abdelgawad

As urbanization speeds up and traffic flow increases, the issue of pavement distress is becoming increasingly pronounced, posing a severe threat to road safety and service life. Traditional methods of pothole detection rely on manual…

计算机视觉与模式识别 · 计算机科学 2025-07-17 Haomin Zuo , Zhengyang Li , Jiangchuan Gong , Zhen Tian

Advancements in artificial intelligence (AI) gives a great opportunity to develop an autonomous devices. The contribution of this work is an improved convolutional neural network (CNN) model and its implementation for the detection of road…

计算机视觉与模式识别 · 计算机科学 2020-08-17 Syed Ali Hassan , Tariq Rahim , Soo Young Shin
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