Title
Parallel and local feature extraction: a real-time approach to road boundary detection.
Abstract
Presents a system for the extraction of road boundaries from an image taken in an out-of-town environment. In this application, computational speed and performance play a fundamental role in the selection of the hardware platform and the design of algorithms. The algorithm has been designed to be implemented on a special-purpose mesh-connected SIR ID architecture, PAPRICA, which will be fitted to the vehicle. This presentation focuses on the algorithms and in particular on processing speed.
Year
DOI
Venue
1995
10.1109/83.342193
Image Processing, IEEE Transactions  
Keywords
Field
DocType
processing speed,hardware platform,road boundary,computational speed,out-of-town environment,real-time approach,fundamental role,road boundary detection,sir id architecture,local feature extraction,data mining,feature extraction,real time systems,performance,real time,algorithm design and analysis,optical computing,parallel algorithms,computational complexity,computer architecture,image processing
Computer vision,Architecture,Computer science,Parallel algorithm,Edge detection,Image processing,Feature extraction,Digital image,Boundary detection,Artificial intelligence,Computational complexity theory
Journal
Volume
Issue
ISSN
4
2
1057-7149
Citations 
PageRank 
References 
24
4.11
6
Authors
1
Name
Order
Citations
PageRank
A. Broggi117719.91