Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry
Kenji Koide,Masashi Yokozuka,Shuji Oishi,Atsuhiko Banno,Kenji Koide,Masashi Yokozuka,Shuji Oishi,Atsuhiko Banno
This study proposes an adaptive data-driven hy-perparameter tuning framework for black-box 3D LiDAR odometry algorithms. The proposed framework comprises offline parameter-error function modeling and online adaptive parameter selection. In the offline step, we run the odometry estimation algorithm for tuning with different parameters and environments and evaluate the accuracy of the estimated traj...
