A review of visual SLAM methods for autonomous driving vehicles
Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …
different driving environment. In this context, Simultaneous Localization and Mapping …
[HTML][HTML] A review of multi-sensor fusion slam systems based on 3D LIDAR
The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …
positioning in a large-scale environment has become increasingly demanding, in which …
Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam
This article presents ORB-SLAM3, the first system able to perform visual, visual-inertial and
multimap SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye …
multimap SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye …
[HTML][HTML] An overview on visual slam: From tradition to semantic
W Chen, G Shang, A Ji, C Zhou, X Wang, C Xu, Z Li… - Remote Sensing, 2022 - mdpi.com
Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
Neuralrecon: Real-time coherent 3d reconstruction from monocular video
We present a novel framework named NeuralRecon for real-time 3D scene reconstruction
from a monocular video. Unlike previous methods that estimate single-view depth maps …
from a monocular video. Unlike previous methods that estimate single-view depth maps …
F-loam: Fast lidar odometry and mapping
Simultaneous Localization and Mapping (SLAM) has wide robotic applications such as
autonomous driving and unmanned aerial vehicles. Both computational efficiency and …
autonomous driving and unmanned aerial vehicles. Both computational efficiency and …
Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision
JP Queralta, J Taipalmaa, BC Pullinen, VK Sarker… - Ieee …, 2020 - ieeexplore.ieee.org
Search and rescue (SAR) operations can take significant advantage from supporting
autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and …
autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and …
GVINS: Tightly coupled GNSS–visual–inertial fusion for smooth and consistent state estimation
Visual–inertial odometry (VIO) is known to suffer from drifting, especially over long-term runs.
In this article, we present GVINS, a nonlinear optimization-based system that tightly fuses …
In this article, we present GVINS, a nonlinear optimization-based system that tightly fuses …
D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry
We propose D3VO as a novel framework for monocular visual odometry that exploits deep
networks on three levels--deep depth, pose and uncertainty estimation. We first propose a …
networks on three levels--deep depth, pose and uncertainty estimation. We first propose a …
Openvins: A research platform for visual-inertial estimation
In this paper, we present an open platform, termed OpenVINS, for visual-inertial estimation
research for both the academic community and practitioners from industry. The open …
research for both the academic community and practitioners from industry. The open …