Loam livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

@article{Lin2020LoamLA,
  title={Loam livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV},
  author={Jiarong Lin and Fu Zhang},
  journal={2020 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2020},
  pages={3126-3131}
}
  • J. Lin, Fu Zhang
  • Published 2020
  • Computer Science, Engineering
  • 2020 IEEE International Conference on Robotics and Automation (ICRA)
LiDAR odometry and mapping (LOAM) has been playing an important role in autonomous vehicles, due to its ability to simultaneously localize the robot’s pose and build high-precision, high-resolution maps of the surrounding environment. This enables autonomous navigation and safe path planning of autonomous vehicles. In this paper, we present a robust, real-time LOAM algorithm for LiDARs with small FoV and irregular samplings. By taking effort on both frontend and back-end, we address several… Expand
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