Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and mapping (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Nicer-slam: Neural implicit scene encoding for rgb slam
Neural implicit representations have recently become popular in simultaneous localization
and mapping (SLAM), especially in dense visual SLAM. However, existing works either rely …
and mapping (SLAM), especially in dense visual SLAM. However, existing works either rely …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
Evaluating modern approaches in 3d scene reconstruction: Nerf vs gaussian-based methods
Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods
in the context of 3D scene reconstruction, this study contrasts these modern approaches with …
in the context of 3D scene reconstruction, this study contrasts these modern approaches with …
Nerf-vo: Real-time sparse visual odometry with neural radiance fields
J Naumann, B Xu, S Leutenegger… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
We introduce a novel monocular visual odometry (VO) system, NeRF-VO, that integrates
learning-based sparse visual odometry for low-latency camera tracking and a neural …
learning-based sparse visual odometry for low-latency camera tracking and a neural …
Efficient map fusion for multiple implicit slam agents
S Liu, J Zhu - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Recent advances in implicit mapping and positioning have yielded promising results by
leveraging the characteristics of Neural Radiance Fields (NeRFs). NeRFs enable the …
leveraging the characteristics of Neural Radiance Fields (NeRFs). NeRFs enable the …
[PDF][PDF] How nerfs and 3d gaussian splatting are reshaping slam: a survey
Over the past two decades, research in the field of Simultaneous Localization and Mapping
(SLAM) has undergone a significant evolution, highlighting its critical role in enabling …
(SLAM) has undergone a significant evolution, highlighting its critical role in enabling …
NeRF in Robotics: A Survey
Meticulous 3D environment representations have been a longstanding goal in computer
vision and robotics fields. The recent emergence of neural implicit representations has …
vision and robotics fields. The recent emergence of neural implicit representations has …
EgoHDM: A Real-time Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System
H Yin, B Liu, M Kaufmann, J He, S Christen… - ACM Transactions on …, 2024 - dl.acm.org
We present EgoHDM, an online egocentric-inertial human motion capture (mocap),
localization, and dense mapping system. Our system uses 6 inertial measurement units …
localization, and dense mapping system. Our system uses 6 inertial measurement units …
Scene reconstruction techniques for autonomous driving: a review of 3D Gaussian splatting
H Zhu, Z Zhang, J Zhao, H Duan, Y Ding, X Xiao… - Artificial Intelligence …, 2024 - Springer
As the latest research result of the explicit radiated field technology, 3D Gaussian Splatting
(3D GS) replaces the implicit expression represented by Neural Radiated Field (NeRF) and …
(3D GS) replaces the implicit expression represented by Neural Radiated Field (NeRF) and …