The search functionality is under construction.
The search functionality is under construction.

Robust Vehicle Detection under Poor Environmental Conditions for Rear and Side Surveillance

Osafumi NAKAYAMA, Morito SHIOHARA, Shigeru SASAKI, Tomonobu TAKASHIMA, Daisuke UENO

  • Full Text Views

    0

  • Cite this

Summary :

During the period from dusk to dark, when it is difficult for drivers to see other vehicles, or when visibility is poor due to rain, snow, etc., the contrast between nearby vehicles and the background is lower. Under such conditions, conventional surveillance systems have difficulty detecting the outline of nearby vehicles and may thus fail to recognize them. To solve this problem, we have developed a rear and side surveillance system for vehicles that uses image processing. The system uses two stereo cameras to monitor the areas to the rear and sides of a vehicle, i.e., a driver's blind spots, and to detect the positions and relative speeds of other vehicles. The proposed system can estimate the shape of a vehicle from a partial outline of it, thus identifying the vehicle by filling in the missing parts of the vehicle outline. Testing of the system under various environmental conditions showed that the rate of errors (false and missed detection) in detecting approaching vehicles was reduced to less than 10%, even under conditions that are problematic for conventional processing.

Publication
IEICE TRANSACTIONS on Information Vol.E87-D No.1 pp.97-104
Publication Date
2004/01/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Machine Vision Applications)
Category
ITS

Authors

Keyword