Paper Info
Title
Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder
Abstract
Advanced vehicle safety is a recently emerging issue, appealed from the rapidly explosive population of car owners. Increasing driver assistance systems have been designed for warning drivers of what should be noticed by analyzing surrounding environments with sensors and/or cameras. As one of the hazard road conditions, road bumps not only damage vehicles but also cause serious danger, especially at night or under poor lighting conditions. In this paper we propose a vision-based road bump detection system using a front-mounted car camcorder, which tends to be widespread deployed. First, the input video is transformed into a time-sliced image, which is a condensed video representation. Consequently, we estimate the vertical motion of the vehicle based on the time-sliced image and infer the existence of road bumps. Once a bump is detected, the location fix obtained from GPS is reported to a central server, so that the other vehicles can receive warnings when approaching the detected bumpy regions. Encouraging experimental results show that the proposed system can detect road bumps efficiently and effectively. It can be expected that traffic security will be significantly promoted through the mutually beneficial mechanism that a driver who is willing to report the bumps he/she meets can receive warnings issued from others as well.
Year
DOI
Venue
2014
10.1109/ICPR.2014.776
ICPR
Keywords
Field
DocType
road bumps,intelligent vehicle, driver assistance system, pattern recognition, signal processing, motion analysis,motion analysis,image representation,road vehicles,signal processing,pattern recognition,advanced vehicle safety,traffic engineering computing,damage vehicles,car owners,warning drivers,vertical motion,video recording,traffic security,video representation,computer vision,hazard road conditions,road traffic,intelligent vehicle,time sliced image,driver assistance systems,front mounted car camcorder,driver assistance system,vision based road bump detection
Signal processing,Computer vision,Computer science,Advanced driver assistance systems,Floating car data,Vision based,Vehicle Information and Communication System,Artificial intelligence,Motion analysis
Conference
ISSN
Citations 
PageRank 
1051-4651
0
0.34
References 
Authors
20
6
Name
Order
Citations
PageRank
Hua-Tsung Chen128928.72
Chun-Yu Lai200.34
Chun-Chieh Hsu3165.22
Suh-Yin Lee41596319.67
Bao-Shuh Paul Lin57818.71
Chien-Peng Ho6173.39