# LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors 2017, 17, 539

#### 3.2. IMU Measurement Model

#### 4.1. The ICP Algorithm for Estimation the Time Delay and Relative Orientation of LiDAR-IMU

## Reference

- Liu, W.L. LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. Sensors
**2017**, 17, 539. [Google Scholar] [CrossRef] [PubMed]

© 2017 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

## Share and Cite

**MDPI and ACS Style**

Liu, W.
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. *Sensors* 2017, *17*, 539. *Sensors* **2017**, *17*, 2821.
https://doi.org/10.3390/s17122821

**AMA Style**

Liu W.
LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. *Sensors* 2017, *17*, 539. *Sensors*. 2017; 17(12):2821.
https://doi.org/10.3390/s17122821

**Chicago/Turabian Style**

Liu, Wanli.
2017. "LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter. *Sensors* 2017, *17*, 539" *Sensors* 17, no. 12: 2821.
https://doi.org/10.3390/s17122821