Results 31 to 40 of about 1,847 (173)

A robust RGB‐D visual odometry with moving object detection in dynamic indoor scenes

IET Cyber-Systems and Robotics, Volume 5, Issue 1, March 2023., 2023
Abstract Simultaneous localisation and mapping (SLAM) are the basis for many robotic applications. As the front end of SLAM, visual odometry is mainly used to estimate camera pose. In dynamic scenes, classical methods are deteriorated by dynamic objects and cannot achieve satisfactory results.
Xianglong Zhang, Haiyang Yu, Yan Zhuang
wiley   +1 more source

A novel distributed architecture for unmanned aircraft systems based on Robot Operating System 2

IET Cyber-Systems and Robotics, Volume 5, Issue 1, March 2023., 2023
Abstract A novel distributed control architecture for unmanned aircraft system (UASs) based on the new Robot Operating System (ROS) 2 middleware is proposed, endowed with industrial‐grade tools that establish a novel standard for high‐reliability distributed systems.
Lorenzo Bianchi, Daniele Carnevale, Fabio Del Frate, Roberto Masocco, Simone Mattogno, Fabrizio Romanelli, Alessandro Tenaglia   +6 more
wiley   +1 more source

Penerapan Algoritma ORB SLAM-2 Pada Sistem Pemetaan Lingkungan Multi Robot

Invotek: Jurnal Inovasi Vokasional dan Teknologi, 2020
Sistem multi-robot telah diterapkan pada tugas-tugas kompleks yang biasanya dilakukan oleh manusia. Untuk dapat menjalankan tugasnya, robot perlu bernavigasi ke dari suatu posisi ke posisi lain.
Pipit Anggraeni, Ridwan Ridwan, Muhammad Taufiq Aulia Asshydiqi   +2 more
doaj   +1 more source

Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels

IET Image Processing, Volume 17, Issue 2, Page 349-361, 7 February 2023., 2023
Abstract A system that reconstructs 3D models from a single camera monitoring fish transported on a conveyor system is investigated. Models are subsequently used for training a species classifier and for improving estimates of discarded biomass. It is demonstrated that a monocular camera, combined with a conveyor's linear motion produces a constrained ...
Mark Fisher, Geoffrey French, Artjoms Gorpincenko, Helen Holah, Lauren Clayton, Rebecca Skirrow, Michal Mackiewicz   +6 more
wiley   +1 more source

DIR‐SLAM: Dynamic Interference Removal for Real‐Time VSLAM in Dynamic Environments

Mobile Information Systems, Volume 2023, Issue 1, 2023., 2023
Traditional visual simultaneous localization and mapping (VSLAM) systems mostly rely on the static‐world assumption, which limits their applications in real‐world scenarios with dynamic objects. When there are dynamic objects in the scene, the localization accuracy of the system decreases seriously.
Xiaomin Ma, Ye Yang, Lei Zhu, Yingmin Yi, Jing Xin, Xueping Su, Minqi Li, Floriano Scioscia   +7 more
wiley   +1 more source

DynNetSLAM: Dynamic Visual SLAM Network Offloading

IEEE Access, 2022
Existing Visual Simultaneous Localization And Mapping (vSLAM) approaches that offload the complex self-localization computations from mobile robots over a wireless network to edge computing are limited to static offloading, i.e., the offloaded ...
Peter Sossalla, Johannes Hofer, Justus Rischke, Christian Vielhaus, Giang T. Nguyen, Martin Reisslein, Frank H. P. Fitzek   +6 more
doaj   +1 more source

Visual SLAM Algorithm Based on Target Detection and Semantic Segmentation [PDF]

Jisuanji gongcheng, 2023
Currently, most Visual Simultaneous Localization And Mapping(VSLAM) algorithms are based on static scene design and do not consider dynamic objects in a scene.However, dynamic objects in an actual scene cause mismatches among the feature points of the ...
Chunbo XU, Juan YAN, Huibin YANG, Bo WANG, Han WU
doaj   +1 more source

Three‐Dimensional Location and Mapping Analysis in Mobile Robotics Based on Visual SLAM Methods

Journal of Robotics, Volume 2023, Issue 1, 2023., 2023
One of the essential tasks required from a mobile robot is the autonomous and safe navigation of its working environment. However, in many cases, a model of the environment or map is not available to execute this task. Indeed, navigation requires a permanent estimation of the location for a map, which is not available for unknown environments.
Gustavo A. Acosta-Amaya, Juan M. Cadavid-Jimenez, Jovani A. Jimenez-Builes, L. Fortuna   +3 more
wiley   +1 more source

RDMO-SLAM: Real-Time Visual SLAM for Dynamic Environments Using Semantic Label Prediction With Optical Flow

IEEE Access, 2021
Visual simultaneous localization and mapping (vSLAM) are considered a fundamental technology for augmented reality and intelligent mobile robots. However, rigid scene assumption is common in vSLAM, which limits the wide usage in populated real-world ...
Yubao Liu, Jun Miura
doaj   +1 more source

A Joint Data Association Method for Laser‐SLAM of Unmanned Delivery Vehicle Based on Heuristic Search Algorithm

Journal of Sensors, Volume 2022, Issue 1, 2022., 2022
In Laser‐SLAM system of unmanned delivery vehicle, there are two kinds of association methods applied to solve the data association problem. Compared with the method of independent association for a single measurement and a single feature, the methods of batch association of measurements and features can provide more accurate association results in the
Dan Liu, Yongkang Feng, Zhifeng Han, Bo Zou, Carlos Marques   +4 more
wiley   +1 more source