Vision-based algorithms for near-host object detection and multilane sensing

Surender K. Kenue

doi:10.1117/12.198908

6 January 1995 Vision-based algorithms for near-host object detection and multilane sensing

Surender K. Kenue

Proceedings Volume 2344, Intelligent Vehicle Highway Systems; (1995) https://doi.org/10.1117/12.198908
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

Vision-based sensing can be used for lane sensing, adaptive cruise control, collision warning, and driver performance monitoring functions of intelligent vehicles. Current computer vision algorithms are not robust for handling multiple vehicles in highway scenarios. Several new algorithms are proposed for multi-lane sensing, near-host object detection, vehicle cut-in situations, and specifying regions of interest for object tracking. These algorithms were tested successfully on more than 6000 images taken from real-highway scenes under different daytime lighting conditions.

Citation Download Citation

Surender K. Kenue "Vision-based algorithms for near-host object detection and multilane sensing", Proc. SPIE 2344, Intelligent Vehicle Highway Systems, (6 January 1995); https://doi.org/10.1117/12.198908

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available