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wwenhongich / LIO-FUSION

A reinforced LiDAR inertial odometry system provides accurate and robust 6-DoF movement estimation under challenging perceptual conditions.

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Missing reference in paper

contagon opened this issue · comments

commented

Hey,

First off, thank you for sharing your excellent work. I look forward to the code release.

I was reading through the LIO-Fusion paper and was interested in more details on the wheel encoder factors, referenced as coming from [19]. Unfortunately, reference 19 is the following:

D. Wu, X. Zhong, X. Peng, H. Hu, and Q. Liu, “iSAM2: Incremental smoothing and mapping using the Bayes tree,” IEEE Trans. Instrum. Meas, vol. 71, pp. 1–15, 2022.

which I believe is an incorrect title. Would you mind pointing me to the correct reference here?

Best, Easton

commented

Thanks for pointing out the incorrect title of [19] in our paper. In fact, we have contacted the editors for a correction.
The correct reference 19 is as follows:

[19] D. Wu, X. Zhong, X. Peng, H. Hu, and Q. Liu, “Multimodal information fusion for high-robustness and low-drift state estimation of ugvs in diverse scenes,” IEEE Trans. Instrum. Meas, vol. 71, pp. 1–15, 2022.

commented

Perfect, thanks for the quick response.