Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

@article{Wang2021IntensitySLAMIA,
  title={Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment},
  author={Han Wang and Chen Wang and Lihua Xie},
  journal={IEEE Robotics and Automation Letters},
  year={2021},
  volume={6},
  pages={1715-1721}
}
Simultaneous Localization And Mapping (SLAM) is a task to estimate the robot location and to reconstruct the environment based on observation from sensors such as LIght Detection And Ranging (LiDAR) and camera. It is widely used in robotic applications such as autonomous driving and drone delivery. Traditional LiDAR-based SLAM algorithms mainly leverage the geometric features from the scene context, while the intensity information from LiDAR is ignored. Some recent deep-learning-based SLAM… 

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