Paper Info
Title
Real-time estimation of drivable image area based on monocular vision.
Abstract
Camera-based estimation of drivable image areas is still in evolution. These systems have been developed for improved safety and convenience, without the need to adapt itself to the environment. Machine Vision is an important tool to identify the region that includes the road in images. Road detection is the major task of autonomous vehicle guidance. In this way, this work proposes a drivable region detection algorithm that generates the region of interest from a dynamic threshold search method and from a drag process (DP). Applying the DP to estimation of drivable image areas has not been done yet, making the concept unique. Our system was has been evaluated from real data obtained by intelligent platforms and tested in different types of image texture, which include occlusion case, obstacle detection and reactive navigation.
Year
DOI
Venue
2013
10.1109/IVS.2013.6629448
Intelligent Vehicles Symposium
Keywords
Field
DocType
collision avoidance,mobile robots,road vehicles,robot vision,autonomous vehicle guidance,camera-based estimation,convenience improvement,drag process,drivable image area,drivable region detection algorithm,dynamic threshold search method,image texture,intelligent platforms,machine vision,monocular vision,obstacle detection,occlusion case,reactive navigation,real-time estimation,road detection,safety improvement
Monocular vision,Obstacle,Computer vision,Machine vision,Image texture,Computer science,Image segmentation,Artificial intelligence,Region of interest,Telerobotics,Mobile robot
Conference
Citations 
PageRank 
References 
9
0.53
11
Authors
4
Name
Order
Citations
PageRank
A. Miranda Neto1121.28
Alessandro Corrêa Victorino2435.32
Isabelle Fantoni327927.65
Janito V. Ferreira4222.57