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Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation 

RPM Robotics LAB
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MA-LIO: Multiple Asynchronous LIDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty (RA-L)
by Minwoo Jung, Sangwoo Jung and Ayoung Kim
At this time, we are providing access to three proprietary multi lidar-inertial datasets, and are also planning to make our code publicly available in the nearest future. You can verify our repository using the following link.
github.com/min...
Our paper (author version) can be seen as below.
rpm.snu.ac.kr/...

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11 сен 2024

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Комментарии : 3   
@snakehaihai
@snakehaihai Год назад
contribution doesnt seems to be valid
@hyungtaelim1033
@hyungtaelim1033 4 месяца назад
I don't think so because recently, most companies have used multiple sensors, especially more than one LiDAR sensor for each platform, so asynchronous management is a quite reasonable approach. Plus, as they demonstrate their approach is better than LOCUS 2.0, I believe their contribution is valid
@snakehaihai
@snakehaihai 4 месяца назад
​@@hyungtaelim1033 Using CT formation can address the asynchronous update issue and it has been shown in many prior research See SLICT: Multi-input Multi-scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and Mapping, Asynchronous Multi-View SLAM. Different FOV or angles of different LIDARs don't mean much difference; it is just a measurement model. The key is still CT formation and this, I think not novel already. Thus comes the comments
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