Lidar odometry by deep learning-based feature points with two-step pose estimation

HIGHLIGHTS

• who: Tianyi Liu and colleagues from the GNSS Research Center, Wuhan University, Luoyu Road No129, Wuhan, China have published the research work: LiDAR Odometry by Deep Learning-Based Feature Points with Two-Step Pose Estimation, in the Journal: (JOURNAL)
• what: In this study a method to perform odometry utilizing a bird's eye view of data combined with a deep learning-based feature point is proposed. The authors propose an algorithm for 2D LiDAR odometry based on BEV im ages.InDeep featureanextraction and two-step strategy are combined this learning-based study, the authors propose . . .
  

   

  

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