Obstacle Avoidance On Roadways Using Range Data

Dunlay, R. Terry; Morgenthaler, David G.

doi:10.1117/12.937789

Cited by 28 publications

(9 citation statements)

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“…VITS was a system developed for Alvin, the eight-wheeled Autonomous Land Vehicle at Martin Marietta Denver Aerospace. VITS is a general framework for vision for outdoor road-following together with obstacle detection and avoidance [38], [150]. The primary vision sensor used by VITS is a fixed-focus CCD color camera that provides 480x512 RGB images, with eight bits of intensity for each color component.…”

Section: Outdoor Navigation In Structured Environmentsmentioning

confidence: 99%

Vision for mobile robot navigation: a survey

DeSouza

Kak

2002

IEEE Trans. Pattern Anal. Machine Intell.

1,192

504

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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.

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Section: Outdoor Navigation In Structured Environmentsmentioning

confidence: 99%

Vision for mobile robot navigation: a survey

DeSouza

Kak

2002

IEEE Trans. Pattern Anal. Machine Intell.

1,192

504

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“…Conflict identification examines the plan to determine if any conflicts exist that would prevent the successful execution of the plan. Of primary importance is the detection of the following terminal conflicts: (1) Obstacle obstruction: The current path is obstructed. Example: Guide wires across valley.…”

Section: Autonomous Helicopter Systemmentioning

confidence: 99%

“…The Autonomous Land Vehicle [1] developed at Martin Marietta is a demonstration system for the study of advanced military robotics technology in the DARPA Strategic Computing Initiative. The system was designed to perform several autonomous functions, such as route planning, road following and obstacle avoidance, utilizing artificial intelligence techniques and video /stereo image processing.…”

Section: Autonomous Land Vehiclementioning

confidence: 99%

Autonomous Unmanned Vehicle Systems

Shapiro¹,

Gilmore

1989

SPIE Proceedings

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Current advances in technology and the sophistication of the modem battlefield have encouraged researchers to explore the concept of autonomy as the next step in vehicle technology. As a result of this, a number of autonomous and semi-autonomous vehicle systems are being developed for land, sea, and airborne applications. This paper describes a sampling of the most prominent of these systems to provide an overview of how this technology is evolving.

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“…Dunlap [3] [4] describes road -following and obstacle detection and avoidance using a laser range scanner.…”

Section: Introductionmentioning

confidence: 99%

Color Road Segmentation And Video Obstacle Detection

Turk¹,

Marra²

1987

Mobile Robots I

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The primary vision task in road -following for a mobile robot is to provide a description of the road environment, including possible obstacles on the road. Techniques are presented for road segmentation and obstacle detection based on color video data. Using constraints on road characteristics in the image space and in 3D color space, the road is extracted and represented by its edges. Assuming vehicle movement, obstacles are detected at a distance and an obstacle avoidance mode is entered.

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Obstacle Avoidance On Roadways Using Range Data

Cited by 28 publications

References 0 publications

Vision for mobile robot navigation: a survey

Vision for mobile robot navigation: a survey

Autonomous Unmanned Vehicle Systems

Color Road Segmentation And Video Obstacle Detection

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