Vehicle Localization Algorithm with Lane Discrimination Based on Inertial and Geomagnetic Sensor Data for GNSS-Denied Environments and Its Evaluation for Different Vehicles and Drivers

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Publicat a:Sensors & Transducers vol. 268, no. 1 (Apr 2025), p. 19
Autor principal: Yokota, Takayoshi
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IFSA Publishing, S.L.
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100 1 |a Yokota, Takayoshi  |u Center for Data Science and Artificial Intelligence Education, Institute of Science Tokyo, 2 Chome-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan 
245 1 |a Vehicle Localization Algorithm with Lane Discrimination Based on Inertial and Geomagnetic Sensor Data for GNSS-Denied Environments and Its Evaluation for Different Vehicles and Drivers 
260 |b IFSA Publishing, S.L.  |c Apr 2025 
513 |a Journal Article 
520 3 |a We have been developing a method to estimate a moving vehicle's position using MEMS sensor data, including acceleration, gyroscope, and geomagnetic sensors. This algorithm has been evaluated on several fixed courses, achieving good results with a position error of less than 1 meter. However, questions remain regarding whether the algorithm can distinguish between lanes and if it is applicable across different drivers and vehicles than those used to obtain reference data. This paper presents evaluation results of the algorithm conducted on a two-lane road, demonstrating its ability to differentiate between lanes. Furthermore, it confirms that the algorithm can accurately estimate the vehicle's position even when tested with different vehicles and drivers. 
651 4 |a Japan 
653 |a Microelectromechanical systems 
653 |a Velocity 
653 |a Position sensing 
653 |a Traffic 
653 |a Experiments 
653 |a Sensors 
653 |a Roads & highways 
653 |a Geomagnetism 
653 |a Automobiles 
653 |a Algorithms 
653 |a Travel 
653 |a Vehicles 
653 |a Time series 
653 |a Localization 
653 |a Inertial sensing devices 
653 |a Position errors 
773 0 |t Sensors & Transducers  |g vol. 268, no. 1 (Apr 2025), p. 19 
786 0 |d ProQuest  |t Science Database 
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