LIDAR SLAM-Based Dense Reconstructions of Natural Environments: Field Evaluations-Reference-Cited by-同舟云学术

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LIDAR SLAM-Based Dense Reconstructions of Natural Environments: Field Evaluations

Published:2022-11-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
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Author:

Kumar Arjun¹,Davatzes Alexandra²,Shipley Thomas F.³,Ani Hsieh M.¹

Affiliation:

1. GRASP Laboratory at the University of Pennsylvania,Philadelphia,PA USA

2. Department of Earth and Environmental Sciences at Temple University,Philadelphia,PA USA

3. Department of Psychology and Neuroscience at Temple University,Philadelphia,PA USA

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018603/10018585/10018616.pdf?arnumber=10018616

Reference21 articles.

1. Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM

2. Mapping in unstructured natural environment: a sensor fusion framework for wearable sensor suites

3. LOAM: Lidar Odometry and Mapping in Real-time

4. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

5. UPSLAM: Union of Panoramas SLAM

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