Automatic Hyper-Parameter Tuning for Black-box LiDAR Odometry
Kenji Koide Masashi Yokozuka Shuji Oishi Atsuhiko Banno Kenji Koide Masashi Yokozuka Shuji Oishi Atsuhiko Banno
LiDAR odometry algorithms are complex and involve a number of hyper-parameters. The choice of hyper-parameters can substantively affect the performance of odometry estimation, and it is necessary to carefully fine-tune the hyper-parameters depending on the sensor, environment, and algorithm to achieve the best estimation results. While odometry estimation algorithms are often tuned manually, this ...