허건수
2016-11-18T06:36:20Z
2016-11-18T06:36:20Z
2015-05
2015 KSAE 부문 종합학술대회, 2015.5, 377-380
http://www.dbpia.co.kr/Article/NODE06367222
http://hdl.handle.net/20.500.11754/24476
Recently, researches on autonomous driving vehicle and advanced driver assistance systems (ADAS) are very active and it is obvious that the knowledge of accurate vehicle position is extremely valuable for these researches. This paper presents a position estimation algorithm for vehicle based on the integration of Global Positioning system (GPS) and In-Vehicle sensors. The aim of this paper is to achieve more accurate position of the vehicle by eliminating the unexpected GPS signal error resulted from overpass and multipath. In order to eliminate the inaccurate GPS signal, the status of GPS link is considered and also additional filtering algorithm is designed. The performance of the proposed algorithm has been evaluated by the vehicle experiment.
본 연구는 미래창조과학부 및 정보통신기술진흥센터의 ICT융합교급인력과정지원사업의 연구결과로 수행되었음.(IITP-2015-H8601-15-1005). 본 논문은 2015년도 정부(교육과학기술부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No.2012R1A1A2008054).
ko_KR
한국자동차공학회
Position Estimation
Extended Kalman Filter
Outlier Filter
Global Positioning System
In-Vehicle Sensor
위치 추정
확장 칼만 필터
아웃라이어 필터
위성항법 시스템
차량내부 센서
GPS와 차량 내부 정보를 이용한 적응 차량위치 추정 알고리즘
An Adaptive Estimation Algorithm for Vehicle Positioning Based on GPS and In-Vehicle Sensors
Article
1-3
양정근
이재환
김창섭
허건수
Yang, Junggeon
Lee, Jaehwan
Kim, Changseb
Huh, Kunsoo
S
COLLEGE OF ENGINEERING[S]
DEPARTMENT OF AUTOMOTIVE ENGINEERING
khuh2