Data Processing Algorithm of Laser Scanning Sensor for Adaptive Cruise Control 자동운항장치를 위한 레이저 스캐닝 센서의 데이터 처리 알고리즘

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Not merely running at the designated constant speed as the classical cruise control, the adaptive cruise control maintains safe headway distance when the front is blocked by other vehicles. One of the most essential part of adaptive cruise control system is the range sensor which can measure the position and speed of all objects in front continuously, ignore all irrelevant objects, distinguish vehicles in different lanes and lock on to the closest vehicle in the same lane. In this paper, the rule-based object recognition algorithm is proposed to process raw laser scanning data and obtain valid distance to target vehicle. The algorithm proposed has two key concepts : life index and level transition. The concept of life index qualifies the reliability of the recognized object and the concept of level transition gives us robust and reliable data under critical cases when other noisy objects interfere a target object.
Publisher
한국자동차공학회
Issue Date
1999-08
Language
Korean
Citation

JOURNAL OF KSAS, v.7, no.4, pp.268 - 275

ISSN
1225-6382
URI
http://hdl.handle.net/10203/8443
Appears in Collection
EE-Journal Papers(저널논문)
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