CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR

no code implementations • 18 Dec 2017 • Martin Velas, Michal Spanel, Michal Hradis, Adam Herout

Our networks show significantly better precision in the estimation of translational motion parameters comparing with state of the art method LOAM, while achieving real-time performance.

Robotics

CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data

no code implementations • 7 Sep 2017 • Martin Velas, Michal Spanel, Michal Hradis, Adam Herout

This paper presents a novel method for ground segmentation in Velodyne point clouds.

Robotics