Pose-Invariant Inertial Odometry for Pedestrian Localization

Wang，Yingying1; Cheng，Hu1; Wang，Chaoqun2; Meng，Max Q.H.3

2021

10.1109/TIM.2021.3093922

IEEE Transactions on Instrumentation and Measurement   影响因子和分区

1557-9662

Inertial measurement unit (IMU) inertial state estimation localization pedestrian dead reckoning sensor calibration velocity measurement

SCI ; EI

其他

20213010675017

Application programs

Computer Software, Data Handling and Applications:723

ENGINEERING

IEEE

1.Robotics, Perception and Artificial Intelligence Lab in the Department of Electronic Engineering, The Chinese University of Hong Kong, N.T., Hong Kong SAR, China.
2.School of Control Science and Engineering, Shandong University, Shandong, China.
3.Department of Electronic and Electrical Engineering of the Southern University of Science and Technology in Shenzhen, China, on leave from the Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, and Shenzhen Research Institute of the Chinese University of Hong Kong in Shenzhen, China. (e-mail: max.meng@ieee.org)

Wang，Yingying,Cheng，Hu,Wang，Chaoqun,et al. Pose-Invariant Inertial Odometry for Pedestrian Localization[J]. IEEE Transactions on Instrumentation and Measurement,2021,70:1-12.

Wang，Yingying,Cheng，Hu,Wang，Chaoqun,&Meng，Max Q.H..(2021).Pose-Invariant Inertial Odometry for Pedestrian Localization.IEEE Transactions on Instrumentation and Measurement,70,1-12.

Wang，Yingying,et al."Pose-Invariant Inertial Odometry for Pedestrian Localization".IEEE Transactions on Instrumentation and Measurement 70(2021):1-12.