We describe an optical flow based obstacle detection system for use in detecting vehicles approaching the blind spot of a car on highways and city streets. The system runs at near frame rate (8-15 frames/second) on PC hardware. We will discuss the prediction of a camera image given an implicit optical flow field and comparison with the actual camera image. The advantage to this approach is that we never explicitly calculate optical flow. We will also present results on digitized highway images, and video taken from Navlab 5 while driving on a Pittsburgh highway
In this contribution we present a system for the detection of stationary obstacles and moving object...
AbstractOn the basis of a cost-effective embedded system, this work implements a preceding vehicle d...
The autonomous vehicle system is a demanding application for our daily life. The vehicle requires on...
Abstract — We are concerned with the problem of detecting an overtaking vehicle using a single camer...
In comparison with single images, image sequences contain information about the dynamic aspects of t...
Numerous robots use vision-based techniques in detecting obstacles and tracking object. As vision be...
Optical flow contains information about the motion of a camera relative to its environment and about...
Reliable estimation of optical flow vectors facilitates the evaluation of the motion of a camera rel...
This paper presents a system for the search and detection of moving objects in a sequence of images ...
The car has become bigger, faster and more advanced for each passing year since its first appearance...
The development of artificial vision systems to support driving has been of great interest in recent...
Abstract. This paper describes a vision-based system for blind spot detection in intelligent vehicle...
Project (M.S., Electrical and Electronic Engineering) -- California State University, Sacramento, 20...
This paper describes the analysis of optical flows computed on image sequences taken by a TV camera ...
The proposed vision system detects partially visible vehicles using an active-learning based monocul...
In this contribution we present a system for the detection of stationary obstacles and moving object...
AbstractOn the basis of a cost-effective embedded system, this work implements a preceding vehicle d...
The autonomous vehicle system is a demanding application for our daily life. The vehicle requires on...
Abstract — We are concerned with the problem of detecting an overtaking vehicle using a single camer...
In comparison with single images, image sequences contain information about the dynamic aspects of t...
Numerous robots use vision-based techniques in detecting obstacles and tracking object. As vision be...
Optical flow contains information about the motion of a camera relative to its environment and about...
Reliable estimation of optical flow vectors facilitates the evaluation of the motion of a camera rel...
This paper presents a system for the search and detection of moving objects in a sequence of images ...
The car has become bigger, faster and more advanced for each passing year since its first appearance...
The development of artificial vision systems to support driving has been of great interest in recent...
Abstract. This paper describes a vision-based system for blind spot detection in intelligent vehicle...
Project (M.S., Electrical and Electronic Engineering) -- California State University, Sacramento, 20...
This paper describes the analysis of optical flows computed on image sequences taken by a TV camera ...
The proposed vision system detects partially visible vehicles using an active-learning based monocul...
In this contribution we present a system for the detection of stationary obstacles and moving object...
AbstractOn the basis of a cost-effective embedded system, this work implements a preceding vehicle d...
The autonomous vehicle system is a demanding application for our daily life. The vehicle requires on...
Add to ORKG