CLOi-Mapper: Consistent, Lightweight, Robust, and Incremental Mapper With Embedded Systems for Commercial Robot Services-Reference-Cited by-同舟云学术

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CLOi-Mapper: Consistent, Lightweight, Robust, and Incremental Mapper With Embedded Systems for Commercial Robot Services

Published:2024-09 Issue:9 Volume:9 Page:7541-7548
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Noh DongKi¹^ORCID,Lim Hyungtae¹^ORCID,Eoh Gyuho²^ORCID,Choi Duckyu¹^ORCID,Choi Jeongsik³,Lim Hyunjun¹,Baek SeungMin³^ORCID,Myung Hyun¹^ORCID

Affiliation:

1. School of Electrical Engineering, KAIST (Korea Advanced Institute of Science and Technology), Daejeon, Republic of Korea

2. Department of Mechatronics Engineering, Tech University of Korea, Siheung-si, Gyeonggi-do, Republic of Korea

3. Advanced Robotics Lab., CTO Division, LG Electronics, Seoul, Republic of Korea

Funder

Electronics and Telecommunications Research Institute

ICT R&D program of MSIT/IITP

BK21 FOUR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10601335/10598316.pdf?arnumber=10598316

Reference34 articles.

1. S-VIO: Exploiting Structural Constraints for RGB-D Visual Inertial Odometry

2. SW-LIO: A Sliding Window Based Tightly Coupled LiDAR-Inertial Odometry

3. Faster-LIO: Lightweight Tightly Coupled Lidar-Inertial Odometry Using Parallel Sparse Incremental Voxels

4. FAST-LIO2: Fast Direct LiDAR-Inertial Odometry

5. What if there was no revisit? Large-scale graph-based SLAM with traffic sign detection in an HD map using LiDAR inertial odometry

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