LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539
The IMU consists of three gyros and three accelerometers [...]
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/17/12/2821 |
id |
doaj-1f4ed93daee34615b1e410d4aa66f45d |
---|---|
record_format |
Article |
spelling |
doaj-1f4ed93daee34615b1e410d4aa66f45d2020-11-24T22:08:53ZengMDPI AGSensors1424-82202017-12-011712282110.3390/s17122821s17122821LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539Wanli Liu0School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaThe IMU consists of three gyros and three accelerometers [...]https://www.mdpi.com/1424-8220/17/12/2821n/a |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wanli Liu |
spellingShingle |
Wanli Liu LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539 Sensors n/a |
author_facet |
Wanli Liu |
author_sort |
Wanli Liu |
title |
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539 |
title_short |
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539 |
title_full |
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539 |
title_fullStr |
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539 |
title_full_unstemmed |
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539 |
title_sort |
lidar-imu time delay calibration based on iterative closest point and iterated sigma point kalman filter. sensors 2017, 17, 539 |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2017-12-01 |
description |
The IMU consists of three gyros and three accelerometers [...] |
topic |
n/a |
url |
https://www.mdpi.com/1424-8220/17/12/2821 |
work_keys_str_mv |
AT wanliliu lidarimutimedelaycalibrationbasedoniterativeclosestpointanditeratedsigmapointkalmanfiltersensors201717539 |
_version_ |
1725814072346148864 |