ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
Author:
Affiliation:
1. Idiap Research Institute,EPFL
2. ams OSRAM
3. University of Geneva,EPFL
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205103.pdf?arnumber=10205103
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1. HI-SLAM: Monocular Real-Time Dense Mapping With Hybrid Implicit Fields;IEEE Robotics and Automation Letters;2024-02
2. MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction;ACM Transactions on Graphics;2023-12-05
3. LONER: LiDAR Only Neural Representations for Real-Time SLAM;IEEE Robotics and Automation Letters;2023-12
4. End-to-End RGB-D SLAM With Multi-MLPs Dense Neural Implicit Representations;IEEE Robotics and Automation Letters;2023-11
5. UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02
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