Under complex field environment Obstacle Detection Based on Multi-Sensor Fusion View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2005-2008

FUNDING AMOUNT

220000 CNY

ABSTRACT

Reliable obstacle detection capability is a prerequisite for intelligent mobile robots to navigate in complex field of environmental safety. In this environment, a wide range of properties of different types of obstacles and complex background environment for obstacle detection enormous challenge. The first project for more complex obstacles in the form of two types of field: the projection surface and obstacles that masked weeds are proposed based on color stereoscopic vision detection method and detection radar and laser fusion color images, a better solution bring difficulties to the detection of surface reflection and weeds. Weaknesses of the current methods for the most affected by the environment of large, machine learning is proposed multisensor fusion obstacle detection frame. The framework not only to retain some high quality artificial detector, the machine also has a strong ability to adapt to the environment characteristic of learning. By highest level of integration also allows the detector indirect multi-sensor automatically optimized. One machine learning methods employed wherein the boosting method, as long as they get slightly better than random guessing detector, can automatically get a higher accuracy rate detector machine learning, some of the more difficult to detect discrimination provides a barrier kinds of good ideas and possible solutions. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=60505017

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