When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control

Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such obje...

Full description

Saved in:
Bibliographic Details
Main Author: McConnell, R.K.
Format: Conference Proceeding
Language:English
Subjects:
Analog circuits
Discrete event simulation
Frequency synthesizers
Hardware design languages
Phase locked loops
Phase noise
Radio frequency
Robot control
Robust control
Semiconductor device modeling
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such objects have distinct advantages. Two examples are shown of the use of WAY-2C, a system for color-based recognition that relies on a non-parametric statistical model to provide robust segmentation in the presence of real-world complexities. Recent enhancements to the system to increase the amount of information available for decision making are discussed as well as control interfaces.
ISSN:2325-0526
DOI:10.1109/TEPRA.2009.5339621