Localization of a Heavy-Duty Omnidirectional Vehicle Using IMU and Wheel Odometry

Xiaolong Zhang, Henri Liikanen, Eelis Peltola, Mohammad M. Aref, Jouni Mattila

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

Abstrakti

We introduce a localization algorithm that uses an inertial measurement unit (IMU) and wheel odometry on a four-wheel-drive heavy vehicle for positioning. While wheel odometry alone works in simple cases without slippage, in cases that feature wheel slippage, the velocities measured by the wheel rotation show higher values. In the case of side slippage, the wheel sensors cannot observe the values. Therefore, IMUs are suitable for fusion with wheel odometry to generate real-time feedback. We use an error state Kalman filter (ESKF) to fuse the sensor information from an IMU with wheel odometry, showing results on a slow-manoeuvring vehicle in tests up to five minutes in length. The IMU is an industry-grade micro-electro mechanical system (MEMS) with a gyroscope featuring 6°/h bias in-run stability. We use a real-time kinematic global positioning system (RTK)-GPS as a ground truth reference for the vehicle’s heading angle and position. The tests results show our navigation has an accuracy of 0.3 m for position and 0.6° for heading angle, both within the root mean square error (RMSE) criteria. Our analysis shows that the nonlinearity of the gyroscope in the heading rotation axis is the key factor for improving performance in our implementation.
AlkuperäiskieliEnglanti
Otsikko15th European Workshop on Advanced Control and Diagnosis (ACD 2019)
AlaotsikkoProceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019
ToimittajatElena Zattoni, Silvio Simani, Giuseppe Conte
KustantajaSpringer
Sivut1155-1172
Sivumäärä18
ISBN (elektroninen)978-3-030-85318-1
ISBN (painettu)978-3-030-85317-4
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEuropean Workshop on Advanced Control and Diagnosis - Bologna, Italia
Kesto: 21 marrask. 201922 marrask. 2019

Julkaisusarja

NimiLecture Notes in Control and Information Sciences - Proceedings
KustantajaSpringer
ISSN (painettu)2522-5383
ISSN (elektroninen)2522-5391

Conference

ConferenceEuropean Workshop on Advanced Control and Diagnosis
Maa/AlueItalia
KaupunkiBologna
Ajanjakso21/11/1922/11/19

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