Paper Info
Title
Fast vision-based road tunnel detection
Abstract
When a vehicle equipped with an artificial vision system enters or exits a tunnel, the camera may temporarly suffer from reduced visibility, or even get completely blind due to quick changes in enviromental illumination. This paper presents a vision-based system that detects approaching tunnels entrances or exits. The proposed system allows other ADAS (Advanced Driver Assistance Systems) to act on camera parameters to effectively avoid the tunnel blindness effect. Information regarding approaching tunnel entrance can be helpful for other sensors as well and for sensor fusion systems. In terms of path planning, this system can also inform GNSS-based systems (Global Navigation Satellite System), which usually do not receive any signal in tunnels, and trigger dead reckoning techniques. The proposed system is noticeably fast and therefore well fit to be used as a background process to support other ADAS applications.
Year
DOI
Venue
2011
10.1007/978-3-642-24088-1_44
ICIAP (2)
Keywords
Field
DocType
vision-based system,camera parameter,tunnel blindness effect,vision-based road tunnel detection,adas application,artificial vision system,proposed system,tunnel entrance,tunnels entrance,gnss-based system,sensor fusion system
Motion planning,Computer vision,Visibility,Computer science,Advanced driver assistance systems,Satellite system,Sensor fusion,Dead reckoning,Background process,GNSS applications,Artificial intelligence
Conference
Volume
Issue
ISSN
6979
II
0302-9743
Citations 
PageRank 
References 
1
0.37
2
Authors
4
Name
Order
Citations
PageRank
Massimo Bertozzi173987.57
Alberto Broggi21527178.28
Gionata Boccalini310.71
Luca Mazzei4101.76