Results 91 to 100 of about 1,847 (173)

MOLO-SLAM: A Semantic SLAM for Accurate Removal of Dynamic Objects in Agricultural Environments

Agriculture
Visual simultaneous localization and mapping (VSLAM) is a foundational technology that enables robots to achieve fully autonomous locomotion, exploration, inspection, and more within complex environments.
Jinhong Lv, Beihuo Yao, Haijun Guo, Changlun Gao, Weibin Wu, Junlin Li, Shunli Sun, Qing Luo   +7 more
doaj   +1 more source

Survey and evaluation of monocular visual-inertial SLAM algorithms for augmented reality

Virtual Reality & Intelligent Hardware, 2019
Although VSLAM/VISLAM has achieved great success, it is still difficult to quantitatively evaluate the localization results of different kinds of SLAM systems from the aspect of augmented reality due to the lack of an appropriate benchmark.
Li Jinyu, Yang Bangbang, Chen Danpeng, Wang Nan, Zhang Guofeng, Bao Hujun   +5 more
doaj   +1 more source

Robust Dense Mapping for Large-Scale Dynamic Environments

, 2018
We present a stereo-based dense mapping algorithm for large-scale dynamic urban environments. In contrast to other existing methods, we simultaneously reconstruct the static background, the moving objects, and the potentially moving but currently ...
Bârsan, Ioan Andrei, Geiger, Andreas, Liu, Peidong, Pollefeys, Marc   +3 more
core   +1 more source

LDSO: Direct Sparse Odometry with Loop Closure

, 2018
In this paper we present an extension of Direct Sparse Odometry (DSO) to a monocular visual SLAM system with loop closure detection and pose-graph optimization (LDSO).
Cremers, Daniel, Demmel, Nikolaus, Gao, Xiang, Wang, Rui   +3 more
core   +1 more source

A Novel Fuzzy Image-Based UAV Landing Using RGBD Data and Visual SLAM

Drones
In this work, an innovative perception-guided approach is proposed for landing zone detection and realization of Unmanned Aerial Vehicles (UAVs) operating in unstructured environments ridden with obstacles.
Shayan Sepahvand, Niloufar Amiri, Houman Masnavi, Iraj Mantegh, Farrokh Janabi-Sharifi   +4 more
doaj   +1 more source

An Automatic Key-Frame Selection Method for Monocular Visual Odometry of Ground Vehicle

IEEE Access, 2019
In response to the rapid change of attitude in complex situations such as sharp turns and camera jitter, visual odometry/visual simultaneous localization and mapping (VO/VSLAM) often requires a high camera frame rate.
Xiaohu Lin, Fuhong Wang, Lei Guo, Wanwei Zhang   +3 more
doaj   +1 more source

A Semi-Dense Feature-based VSLAM System

Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019, 2019
Simultaneous localization and mapping technology is the basis of a mobile robot, also one of the most important conditions for robot intelligence. SLAM is that a moving robot builds incremental environment maps, and simultaneously make use of the maps to realize the self-positioning in accordance with its pose estimation and visual sensors.
Zhen Li, Yuren Du, Lifeng Zhang
openaire   +2 more sources

Autonomous navigation for flying quadcopters using VSLAM

, 2020
When it comes to moving robots, there is a major drawback in autonomous navigation, as adding the sense of sight to a machine can be very complicated. There are other sensors that can help a robot interact with the environment, such as ultrasonic distance sensors, used to prevent collisions with objects or pressure sensors, to know the height of the ...
openaire   +2 more sources

Probabilistic Approach to Landmark Management in Visual Odometry [PDF]

, 2014
katedra ...
Potoček Pavel
core  

Thermal VSLAM for autonomous ferry

, 2021
Oppgaven presenterer en oversikt over ORB-SLAM1, 2 og 3, og viser implementering og tilpasninger av ORB-SLAM2 og ORB-SLAM3 for termisk video. Termisk VSLAM på autonome fartøy er motivert av et ønske om å gjøre navigasjonen mer robust for eksempel i natt, tåke eller miljøer uten GNSS-tilgang, i håp om å gi økt sikkerhet og bedre generell ...
openaire   +1 more source