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Volumn , Issue , 2006, Pages 941-946

Fault-tolerant 3D localization for outdoor vehicles

Author keywords

Inertial navigation system; Kalman filter; Localization; Outdoor robot

Indexed keywords

FAULT TOLERANT COMPUTER SYSTEMS; GLOBAL POSITIONING SYSTEM; NAVIGATION; ROBOTIC ASSEMBLY; SENSORS;

EID: 34250628817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2006.281771     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 2
    • 26444502277 scopus 로고    scopus 로고
    • Robot localization and kalman filters - on finding your position in a noisy world,
    • Master's thesis, Utrecht University
    • R. Negenborn, "Robot localization and kalman filters - on finding your position in a noisy world," Master's thesis, Utrecht University, 2003.
    • (2003)
    • Negenborn, R.1
  • 4
    • 34250643752 scopus 로고    scopus 로고
    • Y. Lu, E. Collins, and M. Selekwa, Parity relation based fault detection, isolation and reconfiguration for autonomous ground vehicle localization sensors, in 24th Army Science Conference, 2004.
    • Y. Lu, E. Collins, and M. Selekwa, "Parity relation based fault detection, isolation and reconfiguration for autonomous ground vehicle localization sensors," in 24th Army Science Conference, 2004.
  • 8
    • 34250621562 scopus 로고    scopus 로고
    • E. Nebot and H. Durrant-Whyte, Initial calibration and alignment of low cost inertial navigation units for land vehicle applications, Department of Mechanical an Mechatronic Engineering, University of Sidney, Tech. Rep., 1999.
    • E. Nebot and H. Durrant-Whyte, "Initial calibration and alignment of low cost inertial navigation units for land vehicle applications," Department of Mechanical an Mechatronic Engineering, University of Sidney, Tech. Rep., 1999.
  • 9
    • 34250690627 scopus 로고    scopus 로고
    • M. Hashimoto, H. Kawashima, T. Nakagami, and F. Oba, Sensor fault detection and identification in dead-reckoning system of mobile robot: Interacting multiple model approach, Department of Mechanical System Engineering, Hiroshima University, Tech. Rep., 2001.
    • M. Hashimoto, H. Kawashima, T. Nakagami, and F. Oba, "Sensor fault detection and identification in dead-reckoning system of mobile robot: Interacting multiple model approach," Department of Mechanical System Engineering, Hiroshima University, Tech. Rep., 2001.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.