IECE Transactions on Intelligent Unmanned Systems

Free Access | Research Article | 11 December 2024

Surface Area Measurement of Irregular Objects Based on 3D Laser Scanning Technology

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IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 2: 63-72, 2024 | DOI:10.62762/TIUS.2024.725258

Abstract

Calculating surface area is quite common in daily life; however, due to the irregular shapes of objects, traditional feature point data collection methods are not suitable for complex surfaces. Therefore, this study employs 3D laser scanning technology, using the Ligrip H120 handheld rotating laser scanner for data collection of the artificial stone. Based on four algorithms, we performed 3D reconstruction of the obtained point cloud data. Subsequently, we developed a program for surface area calculation using the Python interface of CloudCompare software and the Open3D library. The results indicate that the surface area measured with this technology has an accuracy improvement of 1.03 perce... More >

Graphical Abstract

Surface Area Measurement of Irregular Objects Based on 3D Laser Scanning Technology

Free Access | Research Article | 11 December 2024

Dialogflow-based Robot Customer Service in Online Shopping Malls

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Kunhao Zhang

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Xingdong Wang

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Yuhua Wang

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 2: 55-62, 2024 | DOI:10.62762/TIUS.2024.257761

Abstract

With the rapid development of e-commerce, consumers encounter more and more frequent customer service problems in the shopping process, especially during peak periods, the burden of manual customer service is heavy, and it is difficult to provide timely and effective service. In addition, enterprises are faced with high labor costs and low service efficiency. However, existing customer service systems are still deficient in user experience and intelligence level. In order to solve these problems, I designed a mall system and integrated Google's Dialogflow robot service in it, which realizes intelligent customer service functions through natural language processing technology to help users ge... More >

Graphical Abstract

Dialogflow-based Robot Customer Service in Online Shopping Malls

Free Access | Research Article | 27 July 2024

Enhancing Robotic Grasp Detection with a Novel Two-Stage Approach: From Conceptualization to Implementation

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Zhe Chu

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Mengkai Hung

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Xiangyu Chen

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 1: 44-54, 2024 | DOI:10.62762/TIUS.2024.777385

Abstract

This study introduces a novel two-stage approach for robotic grasp detection, addressing the challenges faced by end-to-end deep learning methodologies, particularly those based on convolutional neural networks (CNNs) that require extensive and often impractical datasets. Our method first leverages a particle swarm optimizer (PSO) as a candidate estimator, followed by CNN-based verification to identify the most probable grasp points. This approach represents a significant advancement in the field, achieving an impressive accuracy of 92.8% on the Cornell Grasp Dataset. This positions it among the leading methods while maintaining real-time operational capability. Furthermore, with minor modif... More >

Graphical Abstract

Enhancing Robotic Grasp Detection with a Novel Two-Stage Approach: From Conceptualization to Implementation

Free Access | Research Article | 21 July 2024

Model Predictive Control for Enhanced Trajectory Tracking of Autonomous Deep-Sea Tracked Mining Vehicles

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Hongyun Wu

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Yuheng Chen

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Hongmao Qin

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 1: 31-43, 2024 | DOI:10.62762/TIUS.2024.557673

Abstract

This paper explores the effectiveness of Model Predictive Control (MPC) for trajectory tracking in autonomous deep-sea tracked mining vehicles operating within polymetallic nodule mining environments, considering model uncertainties and external disturbances. Traditional applications of MPC in autonomous vehicle trajectory tracking, which typically rely on kinematic models under minimal external disturbance, often fail when faced with model inaccuracies and external disruptions. To address these challenges, we propose an MPC-based trajectory tracking algorithm that includes a speed correction controller for the drive wheel. This controller, developed through experimental data fitting, aims t... More >

Graphical Abstract

Model Predictive Control for Enhanced Trajectory Tracking of Autonomous Deep-Sea Tracked Mining Vehicles

Free Access | Research Article | 17 July 2024

Enhancing Aero Engine Design Through Advanced Computer Simulation Techniques

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Luo Zhe

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 1: 24-30, 2024 | DOI:10.62762/TIUS.2024.424921

Abstract

This paper provides a comprehensive review of the application of computer simulation in analyzing the performance of gas turbine engines. It introduces a novel three-tiered approach to simulate jet engine performance, enhancing understanding and optimization of design parameters. Utilizing a specialized computer simulation program, the study investigates the thermodynamic cycle at the design point and assesses performance at off-design points. Results underscore the pivotal role of computer simulation techniques in refining the design and efficiency of turbofan engines, offering significant insights into the development of more advanced gas turbine systems. More >

Free Access | Review Article | 10 July 2024

Advancements in Aero Engine Design and Manufacturing through the Integration of Electronic Computing Technologies: A Comprehensive Analysis

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Zhe Luo

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 1: 16-23, 2024 | DOI:10.62762/TIUS.2024.970930

Abstract

This study explores the global advancements in Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM), focusing particularly on their application in the development of aero engines. It outlines the objectives, implementation stages, and anticipated computer system configurations for integrating CAD/CAM technologies within China's aero engine sector. By examining the current state of these technologies in China, the paper offers a customized approach that addresses both the goals and practicalities of adopting advanced CAD/CAM systems. This paper provides valuable insights into improving precision and efficiency in aero engine design and manufacturing processes in China. More >

Graphical Abstract

Advancements in Aero Engine Design and Manufacturing through the Integration of Electronic Computing Technologies: A Comprehensive Analysis

Free Access | Review Article | 07 July 2024

Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review

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Xiao Yan

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Ashardi bin Abas

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 1: 4-15, 2024 | DOI:10.62762/TIUS.2024.767724

Abstract

Driver fatigue is a significant contributor to road accidents worldwide. Timely detection and alert systems for driver fatigue can substantially enhance driving safety and reduce traffic-related casualties. This article presents a comprehensive review of the recent advancements in driver fatigue detection technologies. It categorizes and evaluates detection methods based on physiological signals, behavioral characteristics, vehicle dynamics, and information fusion techniques. Additionally, it scrutinizes the prevalent datasets and methodologies employed in fatigue detection, offering valuable insights for future research directions. Our analysis emphasizes the importance of integrating multi... More >

Graphical Abstract

Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review

Open Access | Editorial | 02 July 2024

Inaugural Editorial of Transactions on Intelligent Unmanned Systems

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Jinchao Chen

IECE Transactions on Intelligent Unmanned Systems | Volume 1, Issue 1: 1-3, 2024 | DOI:10.62762/TIUS.2024.663877

Abstract

Welcome to the inaugural issue of Transactions on Intelligent Unmanned Systems. This journal is dedicated to publishing high-quality, cutting-edge research in the rapidly evolving field of intelligent unmanned systems. Our mission is to provide a platform that brings together researchers, engineers, and practitioners from academia, industry, and government to share their innovative work and ideas. We are committed to fostering a collaborative and inclusive environment that drives advancements in unmanned technology and its applications across various domains. More >

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