Geodetic coordinate calculation based on monocular vision on UAV platform

Li, Zhi; Yang, Tao; Li, Guangpo; Li, Jing; Zhang, Yanning

doi:10.1109/icsp.2016.7877846

Cited by 6 publications

(5 citation statements)

References 23 publications

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“…Specifically, the UAV detection tasks involve printed landmarks (Kim & Sukkarieh, 2003), smoke and fire (Campoy et al, 2009), civilian and industrial objects (Birk et al, 2011; Ellenberg et al, 2015; Jung et al, 2020; Ma et al, 2021; Medeiros et al, 2021; Pinto et al, 2021; Silva et al, 2020; Usenko et al, 2020; Yang, Li, et al, 2017), and scene changes (Nourani‐Vatani & Pradalier, 2010) detection. Other tasks contained three 3D reconstruction studies (Gee et al, 2016; Kaul et al, 2016; Wendel et al, 2012), one calculation of 3D geodetic coordinates of the target study (Li et al, 2016), and two performance analysis studies of SLAM methods (Diep et al, 2022; Hansen et al, 2022). Some researchers (Hyyppä et al, 2020) evaluated the methods of data collection in forests by handheld devices, UAV flying under the canopies, and UAV flying above the canopies, concluding that features collected by UAV flying under the canopies are more accurate.…”

Section: Resultsmentioning

confidence: 99%

UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review

Wang,

Kooistra,

Pan

et al. 2024

Journal of Field Robotics

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This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)‐based simultaneous localization and mapping (SLAM) in outdoor environments and to discuss challenges and limitations in this field. A literature search was conducted in three online databases (Web of Science, Scopus, and IEEE) for articles published before October 2022 related to UAV‐based SLAM. A scoping review was carried out to identify the key concepts and applications, and discover research gaps in the use of algorithm‐oriented and task‐oriented, open‐source studies. A total of 97 studies met the criteria after conducting a two‐step screening by a systematic method followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses. Among eligible studies, 97 were classified into two main categories: algorithm‐oriented studies and task‐oriented studies. The analysis of the literature revealed that the majority of the studies were focused on the development and implementation of new algorithms and algorithms. This review highlights the significance and diversity of sensors utilized in UAVs in different tasks and applications scenarios that employ different types of sensors. The evaluation method is able to show the real results and performance of the new algorithms in the target scenarios compared with the evaluation method by the public data set and simulation platform.

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Section: Resultsmentioning

confidence: 99%

UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review

Wang,

Kooistra,

Pan

et al. 2024

Journal of Field Robotics

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“…Weapon effectiveness simulation systems (WESS) is a modelling and simulation platform for CESS domain 18 . In general, WESS has two workflows from different perspectives: domain model development (DMD) for modellers and simulation application development (SAD) for users.…”

Section: Resultsmentioning

confidence: 99%

Model Driven Combat Effectiveness Simulation Systems Engineering

2020

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Model-driven engineering has become popular in the combat effectiveness simulation systems engineering during these last years. It allows to systematically develop a simulation model in a composable way. However, implementing a conceptual model is really a complex and costly job if this is not guided under a well-established framework. Hence this study attempts to explore methodologies for engineering the development of simulation models. For this purpose, we define an ontological metamodelling framework. This framework starts with ontology-aware system conceptual descriptions, and then refines and transforms them toward system models until they reach final executable implementations. As a proof of concept, we identify a set of ontology-aware modelling frameworks in combat systems specification, then an underwater targets search scenario is presented as a motivating example for running simulations and results can be used as a reference for decision-making behaviors.

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“…The latest “second generation” picking robot from ABB of Sweden, the FlexPicker IRB360, offers the advantages of a larger payload, faster operation, and smaller footprint and with the help of simple and effective 2D vision, can quickly pick up items on a conveyor at speed of up to 2 times/second [ 13 ]. The robot vision system developed by the Finnish company RTS is successfully used in the production of naval propeller propellers, where the propeller blades are precisely ground according to CAD models by means of machine vision monitoring [ 14 ].…”

Section: Related Workmentioning

confidence: 99%

Research on the Industrial Robot Grasping Method Based on Multisensor Data Fusion and Binocular Vision

Xie

2022

Computational Intelligence and Neuroscience

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At present, most of the handling industrial robots working on the production line are operated by teaching or preprogramming, which makes the flexibility of the production line poor and does not meet the flexible production requirements of the material handling system. This study proposes a solution based on adding computer binocular vision to a five-axis industrial robot system. A simple and high-precision binocular camera calibration method is proposed, the kinematics of the five-axis robot is analyzed, and the target positioning is realized; the communication between the upper and lower robots is realized through Ethernet. According to the specific target, the grasping scheme of the gripper was designed; the control software was developed using two schemes. Visual control is carried out by operating specific buttons on the control panel, and visual control is carried out by executing the macrovariable program, finally realizing the joint fusion of multisensor data and binocular vision.

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Geodetic coordinate calculation based on monocular vision on UAV platform

Cited by 6 publications

References 23 publications

UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review

UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review

Model Driven Combat Effectiveness Simulation Systems Engineering

Research on the Industrial Robot Grasping Method Based on Multisensor Data Fusion and Binocular Vision

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