Implementation of Vehicle Navigation System using GNSS, INS, Odometer and Barometer
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초록
In this study, a Global Navigation Satellite System (GNSS) / Inertial Navigation System (INS) / odometer / barometer integrated navigation system that uses a commercial navigation device including Micro Electro Mechanical Systems (MEMS) accelerometer and gyroscope in addition to GNSS, odometer information obtained from a vehicle, and a separate MEMS barometer sensor was implemented, and the performance was verified. In the case of GNSS and GNSS/INS integrated navigation system that are generally used in a navigation device, the performance would deteriorate in areas where GNSS signals are not available. Therefore, an integrated navigation system that calculates a better navigation solution in areas where GNSS signals are not available compared to general GNSS/INS by correcting the velocity error of GNSS/INS using an odometer and by correcting the cumulative altitude error of GNSS/INS using a barometer was suggested. To verify the performance of the navigation system, a commercial navigation device (Softman, Hyundai Mnsoft, http://www.hyundai-mnsoft.com) and a barometer sensor (ST Company) were installed at a vehicle, and an actual driving test was performed. To examine the performance of the algorithm, the navigation solutions of general GNSS/INS and the GNSS/INS/odometer/barometer integrated navigation system were compared in an area where GNSS signals are not available. As a result, a navigation solution
Abstract
In this study, a Global Navigation Satellite System (GNSS) / Inertial Navigation System (INS) / odometer / barometer integrated navigation system that uses a commercial navigation device including Micro Electro Mechanical Systems (MEMS) accelerometer and gyroscope in addition to GNSS, odometer information obtained from a vehicle, and a separate MEMS barometer sensor was implemented, and the performance was verified. In the case of GNSS and GNSS/INS integrated navigation system that are generally used in a navigation device, the performance would deteriorate in areas where GNSS signals are not available. Therefore, an integrated navigation system that calculates a better navigation solution in areas where GNSS signals are not available compared to general GNSS/INS by correcting the velocity error of GNSS/INS using an odometer and by correcting the cumulative altitude error of GNSS/INS using a barometer was suggested. To verify the performance of the navigation system, a commercial navigation device (Softman, Hyundai Mnsoft, http://www.hyundai-mnsoft.com) and a barometer sensor (ST Company) were installed at a vehicle, and an actual driving test was performed. To examine the performance of the algorithm, the navigation solutions of general GNSS/INS and the GNSS/INS/odometer/barometer integrated navigation system were compared in an area where GNSS signals are not available. As a result, a navigation solution
참고문헌 (14)
- Akim, E. L., "GPS errors statistical analysis for ground receiver measurements", Proc. of 17th International Symposium on Space Flight Dynamics (2003), Keldysh IAM
- Angrisano, A., "GNSS", INS integration methods, Universita’degli Studi di Napoli PARTHENOPE, 2010
- Bevly, D. M., "GNSS for vehicle control" (2010), Artech House Inc
- "Inertial Navigation System" (2008)[URL]
- Performance Evaluation of Low Cost MEMSBased IMU Integrated with GPS for Land Vehicle Navigation Application, "Godha, S.", UCGE, ~, pp.Department of Geomatics Engineering, UCGE Reports 20239 (2006)
- Jeon, C. W., "The Error Analysis of the Attitude Computation Algorithm for the SDINS", Journal of The Korean Society for Aeronautical & Space Sciences, 6, pp.50~58 (1988)
- 김영선, "랜드마크 기반 비전항법의 오차특성을 고려한 INS", 비전 통합 항법시스템, 2013, pp.19(2), 95~101[DOI]
- Kong, X., "Inertial Navigation System Algorithm for Low Cost IMU", PhD, pp.2000
- Lee, S. J., "Performance Analysis of INS", Vision-sensor, Magnetometer Integrated Navigation System, pp.MS, Konkuk University
- Improving the Inertial Navigation System Error Model for INS and INS, "DGPS Applications", Nassar, S., 2003, UCGE Reports 20183
- Development of an Initial Coarse Alignment Algorithm for Strapdown Inertial Navigation System, "Park, C. G.", ICROS, ~ (1998)
- Error Analysis and Stochastic Modeling of MEMS based Inertial Sensors for Land Vehicle Navigation Applications, "Park, M.", UCGE, ~, pp.UCGE Reports 20194 (2004)
- Jaewon Seo, "Lever Arm Compensation for GPS", INS, International Journal of Control, Automation, and Systems, pp.2006, 4(2)[DOI]
- Trtterton, D. H., "Strapdown Inertial Navigation Technology" (2004), Amer Inst of Aeronautics & Aircraft Design
