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2006
IEEE

Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers

10 years 2 months ago
Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers
To be useful as a mobility assistant for a human driver, an intelligent robotic wheelchair must be able to distinguish between safe and hazardous regions in its immediate environment. We present a hybrid method using laser rangefinders and vision for building local 2D metrical maps that incorporate safety information (called local safety maps). Laser range-finders are used for localization and mapping of obstacles in the 2D laser plane, and vision is used for detection of hazards and other obstacles in 3D space. The hazards and obstacles identified by vision are projected into the travel plane of the robot and combined with the laser map to construct the local 2D safety map. The main contributions of this work are (i) the definition of a local 2D safety map, (ii) a hybrid method for building the safety map, and (iii) a method for removing noise from dense stereo data using motion.
Aniket Murarka, Joseph Modayil, Benjamin Kuipers
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CRV
Authors Aniket Murarka, Joseph Modayil, Benjamin Kuipers
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