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Ackermann Geometry-based Analysis of NHC Satisfaction of INS for Vehicular Navigation according to IMU Location

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주제분류기타공학

초록

In this paper, we analyze the Non-Holonomic Constraint (NHC) satisfaction of Inertial Navigation System (INS) for vehicular navigation according to Inertial Measurement Unit (IMU) location. In INS-based vehicle navigation, NHC information is widely used to improve INS performance. That is, the error of the INS can be compensated under the condition that the velocity in the body coordinate system of the vehicle occurs only in the forward direction. In this case, the condition that the vehicle’s wheels do not slip and the vehicle rotates with the center of the IMU must be satisfied. However, the rotation of the vehicle is rotated by the steering wheel which is controlled based on the Ackermann geometry, where the center of rotation of the vehicle exists outside the vehicle. Due to this, a phenomenon occurs that the NHC is not satisfied depending on the mounting position of the IMU. In this paper, we analyze this problem based on Ackermann geometry and prove the analysis result based on simulation.

Abstract

In this paper, we analyze the Non-Holonomic Constraint (NHC) satisfaction of Inertial Navigation System (INS) for vehicular navigation according to Inertial Measurement Unit (IMU) location. In INS-based vehicle navigation, NHC information is widely used to improve INS performance. That is, the error of the INS can be compensated under the condition that the velocity in the body coordinate system of the vehicle occurs only in the forward direction. In this case, the condition that the vehicle’s wheels do not slip and the vehicle rotates with the center of the IMU must be satisfied. However, the rotation of the vehicle is rotated by the steering wheel which is controlled based on the Ackermann geometry, where the center of rotation of the vehicle exists outside the vehicle. Due to this, a phenomenon occurs that the NHC is not satisfied depending on the mounting position of the IMU. In this paper, we analyze this problem based on Ackermann geometry and prove the analysis result based on simulation.

참고문헌 (7)

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  2. Cho, S. Y., "Reliability analysis of the integrated navigation system based on real trajectory and calculation of safety margin between trains", IEEE Access, 9, pp.32986~32996 (2021)[DOI]
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  4. 김예준, "적응형 키프레임 문턱값 기반 영상-관성 오도메트리", 제어.로봇.시스템학회 논문지, 26(9), pp.747~753 (2020), 제어·로봇·시스템학회[DOI]
  5. Cheolsoon Lim, "A Review on the Usage of RTKLIB for Precise Navigation of Unmanned Vehicles", Journal of Positioning, Navigation, and Timing, 10(4), pp.243~251 (2021), 사단법인 항법시스템학회[DOI]
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