GNSS-free Online Calibration of Inertial Measurement Units in Road Vehicles

被引:0
|
作者
Senofieni, Rodrigo [1 ]
Corno, Matteo [1 ]
Strada, Silvia Carla [1 ]
Savaresi, Sergio Matteo [1 ]
Fredella, Stefano [2 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy
[2] UnipolTech, Corso Vittorio Emanuele II,48, I-10123 Turin, Italy
来源
IFAC PAPERSONLINE | 2023年 / 56卷 / 03期
关键词
Telematic box; IMU; attitude estimation; mounting angles; Calibration; Recursive Least Squares; experimental validation;
D O I
10.1016/j.ifaco1.2023.12.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a realtime recursive algorithm that can estimate, starting from an unknown pose, the mounting angles (roll, pitch and yaw) of an inertial sensor unit using accelerations and angular velocities. We analyze the use case of telematic boxes (E -Box) that are mounted on ground vehicles for safety reason (like E -call or automatic crash detection) or driving style monitoring. In order to work properly and record meaningful data, the box reference frame needs to be correctly aligned with the vehicle one. The proposed algorithm aligns the two reference frame online while the car is running throughout a series of filters and data point selection logics. Results show that the algorithm is robust with respect to any box mounting position or vehicle, with, on average, a convergence time of less than 20 minutes to the correct angles.
引用
收藏
页码:109 / 114
页数:6
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