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Road Obstacle Detection Using Robust Model Fitting

Gheissari, Niloofar; Barnes, Nick

Description

Awareness of pedestrians, other vehicles, and other road obstacles is key to driving safety, and so their detection is a critical need in driver assistance research. We propose using a model-based approach which can either directly segment the disparity to detect obstacles or remove the road regions from an already segmented disparity map. We developed two methods for segmentation: first, by directly segmenting obstacles from the disparity map; and, second by using morphological operations...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
URI: http://hdl.handle.net/1885/23460
Source: Field and Service Robotics: Results of the 5th International Conference
DOI: 10.1007/11736592_5

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