A Real-Time Road Following Vision System For Autonomous Vehicles

Kuan, D.; Phipps, G. S.; Hsueh, A.

doi:10.1117/12.937794

Cited by 11 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other pioneering research contributions on computer vision for road following include those of Waxman's et al [154], [155], Wallace et al [152] and Wallace [153], Lawton et al [88], Goto and Stentz [45], Kuan et al [83] and Kuan and Sharma [84], and others.…”

Section: Outdoor Navigation In Structured Environmentsmentioning

confidence: 99%

Vision for mobile robot navigation: a survey

DeSouza

Kak

2002

IEEE Trans. Pattern Anal. Machine Intell.

1,193

504

View full text Add to dashboard Cite

Abstract-This paper surveys the developments of the last 20 years in the area of vision for mobile robot navigation. Two major components of the paper deal with indoor navigation and outdoor navigation. For each component, we have further subdivided our treatment of the subject on the basis of structured and unstructured environments. For indoor robots in structured environments, we have dealt separately with the cases of geometrical and topological models of space. For unstructured environments, we have discussed the cases of navigation using optical flows, using methods from the appearance-based paradigm, and by recognition of specific objects in the environment.

show abstract

Section: Outdoor Navigation In Structured Environmentsmentioning

confidence: 99%

Vision for mobile robot navigation: a survey

DeSouza

Kak

2002

IEEE Trans. Pattern Anal. Machine Intell.

1,193

504

View full text Add to dashboard Cite

show abstract

“…Another automatic vehicle has been developed by FMC corporation (Kuan et al 1986; Kuan and Sharma 1987;Sharma and Kuan 1989), but most of the processing was done out of the vehicle by using high-frequency transmission.…”

Section: Road Mark Followingmentioning

confidence: 99%

Real-Time Vehicle Trajectory Supervision on the Highway

Chapuis¹,

Potelle²,

Brame

et al. 1995

The International Journal of Robotics Research

View full text Add to dashboard Cite

This article presents a method for real-time control of vehicle trajectory on a highway based on an on-board vision system using a single camera. The system has been designed to avoid damage (e.g., due to a sleepy driver). The method is based on the real-time extraction of the lateral vehicle location, which is used to determine the vehicle trajectory. Furthermore, the system is able to correct possible bad road tracking in order to have a complete autonomy. The whole system has been implemented on a single TMS320C50 DSP-based card. Reliable results have been obtained on the highway over several hundreds of kilometers at low and high speeds reaching more than 130 km/hr.

show abstract

Real-time model based geometric reasoning for vision-guided navigation

Sharma

Kuan

1989

Machine Vis. Apps.

View full text Add to dashboard Cite

A Real-Time Road Following Vision System For Autonomous Vehicles

Cited by 11 publications

References 0 publications

Vision for mobile robot navigation: a survey

Vision for mobile robot navigation: a survey

Real-Time Vehicle Trajectory Supervision on the Highway

Real-time model based geometric reasoning for vision-guided navigation

Contact Info

Product

Resources

About