MeSLAM: Memory Efficient SLAM based on Neural Fields
Author:
Affiliation:
1. Skolkovo Institute of Science and Technology,ISR Laboratory,Moscow,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945381.pdf?arnumber=9945381
Reference28 articles.
1. DarkSLAM: GAN-assisted Visual SLAM for Reliable Operation in Low-light Conditions
2. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM
3. OV$^{2}$SLAM: A Fully Online and Versatile Visual SLAM for Real-Time Applications
4. DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features
5. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
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1. MS‐SLAM: Memory‐Efficient Visual SLAM With Sliding Window Map Sparsification;Journal of Field Robotics;2024-09-04
2. Direct learning of home vector direction for insect-inspired robot navigation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. ONeK-SLAM: A Robust Object-level Dense SLAM Based on Joint Neural Radiance Fields and Keypoints;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Structerf-SLAM: Neural implicit representation SLAM for structural environments;Computers & Graphics;2024-04
5. NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM;2024 International Conference on 3D Vision (3DV);2024-03-18
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