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Self-supervised lea...
Self-supervised learning method for unstructured road detection using Fuzzy Support Vector Machines
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- Zhou, Shengyan (author)
- Intelligent Vehicle Research Center, Beijing Institute of Technology, China
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- Iagnemma, Karl (author)
- Robotic Mobility Group, MIT, United States
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(creator_code:org_t)
- Piscataway : IEEE Press, 2010
- 2010
- English.
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In: IROS 2010. - Piscataway : IEEE Press. - 9781424466757 ; , s. 1183-1189
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Abstract
Subject headings
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- Road detection is a crucial problem in the application of autonomous vehicle and on-road mobile robot. Most of the recent methods only achieve reliable results in some particular well-arranged environments. In this paper, we describe a road detection algorithm for front-view monocular camera using road probabilistic distribution model (RPDM) and online learning method. The primary contribution of this paper is that the combination of dynamical RPDM and Fuzzy Support Vector Machines (FSVMs) makes the algorithm being capable of self-supervised learning and optimized learning from the inheritance of previous result. The secondary contribution of this paper is that the proposed algorithm uses road geometrical assumption to extract assumption based misclassified points and retrains itself online which makes it easier to find potential misclassified points. Those points take an important role in online retraining the classifier which makes the algorithm adaptive to environment changing.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)
Keyword
- fuzzy set theory
- geometry
- learning (artificial intelligence)
- mobile robots
- object detection
- probability
- robot vision
- support vector machines
- autonomous vehicle
- front-view monocular camera
- fuzzy support vector machines
- on-road mobile robot
- online learning method
- road probabilistic distribution model
- self-supervised learning method
- unstructured road detection algorithm
Publication and Content Type
- ref (subject category)
- kon (subject category)
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