연구동향 분석
박사

GNSS 및 자동차 내부 센서 결합 측위 성능 분석 = Performance Analysis of Positioning through the Integration of GNSS and On-board Vehicle Sensors

한중희 2016년

논문상세정보
인용/피인용
' GNSS 및 자동차 내부 센서 결합 측위 성능 분석 = Performance Analysis of Positioning through the Integration of GNSS and On-board Vehicle Sensors' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • gnss
  • 바퀴 속력 센서
  • 선회 속도 센서
  • 자동차 내부 센서 기반 측위
  • 조향각 센서
  • 중력센서
  • 확장형칼만필터
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
233 0

0.0%

' GNSS 및 자동차 내부 센서 결합 측위 성능 분석 = Performance Analysis of Positioning through the Integration of GNSS and On-board Vehicle Sensors' 의 참고문헌

  • 퍼지를 이용한 차량용 선회 속도 센서 오프셋 보정, 석사학위논문
    김대우 한양대학교 [2008]
  • 전자부품연구원, , 자동차 센서 시장동향
    전자부품연구원 차세대 자동차전장센터 [2011]
  • 자동차기관 1, 오토기관
    김재휘 골든벨 [2006]
  • 고정도 차량용 조향각 센서 개발, 박사논문
    이창환 한양대학 교 [2015]
  • “차량용 첨단주행보조시스템(ADAS) 확산요인 분석 및 시사점”
    허필선 한국통신학회 학술대회논문집, 942-945쪽 [2009]
  • “[특집1] 자동차 MEMS 센서 기술 동향 및 전망”
    임시형 오토저널, 제 34권 , 10호, 24-29쪽 [2012]
  • Zhao, Y., 2011, GPS/IMU integrated system for land vehicle navigation based on MEMS, Licentiate Thesis, KTH Royal Institute of Technology.
  • Zhao Y. 1997, Vehicle location and navigation systems, Artech house.
  • Yi, Y., 2007, On improving the accuracy and reliability of GPS/INS-based direct sensor georeferencing, Ph.D. dissertation, The Ohio State University.
  • Titterton, D. and Weston, J. L., 2004, Strapdown Inertial Navigation Technology, The Institution of Electrical Engineers.
  • Stephen, J., 2000, Development of Multi-Sensor GNSS Based Vehicle Navigation System, M.S. dissertation, University of Calgary.
  • Spangenberg, M., 2009. Safe navigation for vehicles, Ph.D. dissertation, University of Toulouse.
  • Skog, I., 2009, Low-Cost Navigation Systems: A Study of Four Problems, Ph.D. dissertation, KTH Royal Institute of Technology.
  • Shin, E., 2005, Estimation techniques for low-cost inertial navigation, Ph.D. dissertation, The University of Calgary.
  • Shin, E., 2001, Accuracy Improvement of Low Cost INS/GPS for Land Applications, M.S. dissertation, The University of Calgary.
  • Rezaei, S. and Sengupta, R., 2007, “Kalman filter-based integration of DGPS and vehicle sensors for localization”, IEEE Transactions on Control Systems Technology, Vol. 15, No. 6, pp. 1080-1088.
  • Rajamani, R., 2011, Vehicle dynamics and control, Springer Science & Business Media.
  • Quinchia, A. G., Falco, G., Falletti, E., Dovis, F., and Ferrer, C., 2013, “A comparison between different error modeling of MEMS applied to GPS/INS integrated systems”, Sensors, Vol. 13, No. 8, pp.9549-9588.
  • Parkinson, B. W. and Spilker, J. J., 1996, Global Positioning System: Theory and Applications Volume Ⅱ, American Institute of Aeronautics and Astronautics.
  • Noureldin, A., Irvine-Halliday, D., and Mintcheve, M., 2004, “Measurement-while-drilling surveying of highly inclined and horizontal well sections utilizing single-axis gyro sensing system”, Measurement science and technology, Vol. 15, No. 12, pp. 2426-2434.
  • Noureldin, A., Irvine-Halliday, D., and Mintcheve, M., 2002, “Accuracy Limitation of FOG-Based Continuous Measurement-While-Drilling Surveying Instruments for Horizontal Wells”, EEE Transactions on instrumentation and measurement, Vol. 51, No. 6, pp. 1177-1191.
  • Maklouf, O. and Abdulla, A., 2014, “1G2A IMU\GPS Integration Algorithm for Land Vehicle Navigation”, World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering. Vol. 8, No. 3, pp.503-511.
  • Magnusson, N., 2012, Improving absolute position estimates of an automotive vehicle using GPS in sensor fusion, M.S. dissertation, Chalmers University of Technology.
  • MEMS 기술을 적용 한 자동차 응용 센서 기술 및 동향
    권재홍 김영훈 김정훈 조우성 주병권 특허청, 주간기술동향 통권, 1284호, 21-36쪽. [2007]
  • Li, T., 2009, Use of wheel speed sensors to enhance a reduced imu ultra-tight GNSS receiver, M.S. dissertation, The University of Calgary.
  • Leung, K. T., Whidborne, J. F., Purdy, D., and Barber, P., 2011, “Road vehicle state estimation using low-cost GPS/INS”, Mechanical Systems and Signal Processing, Vol. 25 No. 6, pp.1988-2004.
  • Kubo, J., Kindo, T., Ito, A., and Sugimoto, S., 1999, “DGPS/INS/Wheel Sensor Integration for High Accuracy Land-Vehicle Positioning”, Proceedings of ION GPS 1999, pp. 555-564.
  • Kim, S., Lee, S., Hwang, T., and Choi, K., 2004, “An advanced approach for navigation and image sensor integration for land vehicle navigation”, 2004 IEEE 60th Vehicular Technology Conference, Vol. 6, pp.4075-4078.
  • Kelly, A., 1994, A 3D state space formulation of a navigation Kalman filter for autonomous vehicles, Carnegie–Mellon University.
  • Karamat T.B., Mohamed M. A., and Noureldin A., 2015, “An Enhanced Error Model for EKF-Based Tightly-Coupled Integration of GPS and Land Vehicle’s Motion Sensors”, Sensors, Vol. 15, No. 9, pp.24269-24296.
  • Jo, K., Chu, K., and Sunwoo, M., 2012, “Interacting multiple model filter-based sensor fusion of GPS with in-vehicle sensors for real-time vehicle positioning”, IEEE Transactions on Intelligent Transportation Systems, Vol. 13, No. 1, pp.329-343.
  • Jo, K., Chu, K., Lee, K., and Sunwoo, M., 2010, “Integration of multiple vehicle models with an IMM filter for vehicle localization”, 2010 IEEE Intelligent Vehicles Symposium(IV), pp.746-751.
  • Jekeli, C., 2001, Inertial navigation systems with geodetic applications, Walter de Gruyter.
  • Iqbal, U., 2012, Multi-sensor data fusion for vehicular navigation applications, Ph.D. dissertation, Queen’s University.
  • Han, S. and Wang, J., 2011, “Quantization and colored noises error modeling for inertial sensors for GPS/INS integration”. IEEE Sensors Journal, Vol. 11, No. 6, pp.1493-1503.
  • Grove, P. D., 2013, Principles of GNSS, Inertial, and Multisensor Integrated Navigation System, Artech House.
  • Godha, S., 2006, Performance evaluation of low cost MEMS-based IMU integrated with GPS for land vehicle navigation application, M.S. dissertation, The University of Calgary.
  • Godha, S. and Cannon, M. E,, 2007, “GPS/MEMS INS integrated system for navigation in urban areas”, GPS Solutions, Vol. 11, No. 3, pp.193-203.
  • Georgy, J., Noureldin, A., Korenberg, M. J., and Bayoumi, M. M., 2010b, “Modeling the stochastic drift of a MEMS-based gyroscope in gyro/odometer/GPS integrated navigation”, IEEE Transactions on Intelligent Transportation Systems, Vol. 11, No. 4, pp.856-872.
  • Georgy, J., Noureldin, A., Korenberg, M. J., and Bayoumi, M. M., 2010a, “Low-cost three-dimensional navigation solution for RISS/GPS integration using mixture particle filter”, IEEE Transactions on Vehicular Technology, Vol. 59, No. 2, pp.599-615.
  • Georgy, J., 2010, Advanced nonlinear techniques for low cost land vehicle navigation, Ph.D. dissertation, Queen’s University.
  • Georgy, J. and Noureldin, A., 2011, “Tightly coupled low cost 3D RISS/GPS integration using a mixture particle filter for vehicular navigation”, Sensors, Vol. 11, No. 11, pp.4244-4276.
  • Gao, J., Petovello, M., and Cannon, M. E., 2008, “Integration of steering angle sensor with global positioning system and micro-electro-mechanical systems inertial measurement unit for vehicular positioning”, Journal of Intelligent Transportation Systems, Vol. 12, No. 4, pp.159-167.
  • Gao, J., Petovello, M. G., and Cannon, M. E., 2007, “GPS/Low-Cost IMU/Onboard Vehicle Sensors Integrated Land Vehicle Positioning System”, EURASIP Journal on Embedded Systems, Vol. 1, pp.1-14.
  • Gao, J., Petovello, M. G., and Cannon, M. E., 2006, “Development of precise GPS/INS/wheel speed sensor/yaw rate sensor integrated vehicular positioning system”, In Proceedings of the National Technical Meeting of the Institute of Navigation (ION NTM’06), pp.780-792.
  • Gao, J., 2007, Development of a precise GPS/INS/on-board vehicle sensors integrated vehicular positioning system, Ph.D. dissertation, The University of Calgary.
  • Farnorthracing, 2016, http://farnorthracing.com/autocross_secrets22.html
  • El-Diasty, M. and Pagiatakis, S., 2008, “Calibration and stochastic modelling of inertial navigation sensor errors”, Journal of Global Positioning Systems, Vol. 7, No. 2, pp.170-182.
  • Dissanayake, G., Sukkarieh, S., Nebot, E., and Durrant-Whyte, H., 2001, “The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications”, IEEE Transactions on Robotics and Automation, Vol. 17, No. 5, pp.731-747.
  • Darms, M. and Winner, H., 2005, “A modular system architecture for sensor data processing of ADAS applications”, IEEE Intelligent Vehicles Symposium, pp.729-734.
  • Carlson, C. R., 2004, Estimation with applications for automobile dead reckoning and control, Ph. D dissertation, Stanford University.
  • Calson, C.R, Gerdes, J.C., and Powell, J.D., 2002, “Practical Position and Yaw Rate Estimation with GPS and Differential Wheel Speeds”, Proceedings of AVEC2002, the 6th International Symposium on Advanced Vehicle Control.
  • Bullock, J.B., Foss, G.J., and King, M., 2006, Integration of GPS with Other Sensors and Network Assistance, Understanding GPS: Principle and Applications, chapter 9, Artech house.
  • Brown, R.G. and Hwang, P.Y.C., 2012, Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercise, 4th Edition, John Wiley & Sons, Inc.
  • Bonnifait, P., Bouron, P., Meizel, D., and Crubille, P., 2003, “Dynamic Localization of Car-like Vehicles using Data Fusion of Redundant ABS Sensors”, Journal of Navigation, The Royal Institute of Navigation, Vol. 56, No. 3, pp.429-441.
  • Bonnifait, P., Bouron, P., Crubille, P., and Meizel, D., 2001, “Data fusion of four ABS sensors and GPS for an enhanced localization of car-like vehicles”, IEEE International Conference on Robotics and Automation, Proceedings 2001 ICRA. Vol. 2, pp.1597-1602.
  • Barrios, C., Himberg, H., Motai, Y., and Sadek, A., 2006, “Multiple model framework of adaptive extended Kalman filtering for predicting vehicle location”, IEEE Conference on Intelligent Transportation Systems , pp.1053-1059.
  • Anderson, R., 2004, Using GPS for model based estimation of critical vehicle states and parameters, M.S. dissertation, Auburn University.
  • Allen, J.J., Kinney, R.D., Sarsfield, J., Daily, M.R., Ellis, J.R., Smith, J.H., Montague, S., Howe, R.T., Boser, B.E., Horowitz, R., Pisano, A.P., Lemkin, M.A., Clark, W.A, and Juneau, T., 1998, “Integrated Micro-Electro-Mechanical Sensor Development for Inertial Application”, IEEE Aerospace and Electronic Systems Magazine, Vol. 13, No. 11, pp.36–40
  • Abdel-Hamid, W., 2006, Accuracy enhancement of integrated MEMS-IMU/GPS systems for land vehicular navigation applications, Ph.D. dissertation, The University of Calgary.
  • Abbott, E. and Powell, D., 1999, “Land-vehicle navigation using GPS”, Proceedings of the IEEE, Vol. 87, No. 1, pp.145-162.