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检索条件"任意字段=2019 International Conference on Robotics Systems and Vehicle Technology, RSVT 2019"

共 2464 条记录，以下是1-10 订阅

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rsvt 2019 - 2019 international conference on robotics systems and vehicle technology

RSVT 2019 - 2019 International Conference on Robotics System...

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2019 international conference on robotics systems and vehicle technology, rsvt 2019

ISBN: (纸本)9781450362429

The proceedings contain 31 papers. The topics discussed include: parallel sentimental analysis based on nectar research cloud and AURIN;an integrated classification model for massive short texts with few words;text representation method combining multi-level sematic features;entity relationship extraction method based on dependency syntax analysis and rules;Chinese word segmentation based on maximum entropy;stock index prediction method based on dynamic weighted ensemble learning;multi-source deep residual fusion network for depth image super-resolution;and research on Gaussian-wavelet-type activation function of neural network hidden layer based on Monte Carlo method.

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rsvt 2020 - Proceedings of 2020 2nd international conference on robotics systems and vehicle technology

RSVT 2020 - Proceedings of 2020 2nd International Conference...

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2nd international conference on robotics systems and vehicle technology, rsvt 2020

ISBN: (纸本)9781450389068

The proceedings contain 21 papers. The topics discussed include: fuzzy comprehensive evaluation of customer satisfaction of high speed rail express based on AHP;evolutionary analysis of Chinese high-speed railways network;subway network critical nodes detection based on improved PageRank algorithm;detection method for polygonalization of wheel treads based on dynamic response;a test cases generation method for ATP;the impact of China railway express on urban economic development;study on the construction and application of the water emergency rescue equipment system;research on the application of WLSM in ship traffic fundamental diagram model;analysis of vessel abnormal behavior detection;and research on optimization of the container exchange mode of cross-border highway transportation between china and Vietnam

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rsvt 2022 - 2022 3rd international conference on robotics systems and vehicle technology

RSVT 2022 - 2022 3rd International Conference on Robotics Sy...

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3rd international conference on robotics systems and vehicle technology, rsvt 2022

ISBN: (纸本)9781450396783

The proceedings contain 13 papers. The topics discussed include: obstacle-recognition method for soccer robot based on human selective attention;development of an underwater cleaning robot with vortex suction mechanism;development of an underwater cleaning robot with vortex suction mechanism;analyzing the influence of driver, route and vehicle-related factors in electric vehicle energy consumption, based on real life data;abuse torque load simulation and design of differential mechanism in hybrid electric vehicle;estimation of maximum friction coefficient using recurrent artificial neural networks;design of intelligent protection device based on numerical control tool;research on working condition transformation of Huangshan test bench based on Markov braking vibration noise;machinery fault diagnosis using continuous wavelet transform and artificial intelligence based classification;and numerical study of the axial mechanical properties of braided corrugated hose with different braiding angles.

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OpenLiDARMap: Zero-Drift Point Cloud Mapping Using Map Priors

OpenLiDARMap: Zero-Drift Point Cloud Mapping Using Map Prior...

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11th international conference on vehicle technology and Intelligent Transport systems, VEHITS 2025

作者： Kulmer, Dominik Leitenstern, Maximilian Weinmann, Marcel Lienkamp, Markus Institute of Automotive Technology Munich Institute of Robotics and Machine Intelligence Technical University of Munich Garching Germany

ISBN: (纸本)9789897587450

Accurate localization is a critical component of mobile autonomous systems, especially in Global Navigation Satellite systems (GNSS)-denied environments where traditional methods fail. In such scenarios, environmental sensing is essential for reliable operation. However, approaches such as LiDAR odometry and Simultaneous Localization and Mapping (SLAM) suffer from drift over long distances, especially in the absence of loop closures. Map-based localization offers a robust alternative, but the challenge lies in creating and georeferencing maps without GNSS support. To address this issue, we propose a method for creating georeferenced maps without GNSS by using publicly available data, such as building footprints and surface models derived from sparse aerial scans. Our approach integrates these data with onboard LiDAR scans to produce dense, accurate, georeferenced 3D point cloud maps. By combining an Iterative Closest Point (ICP) scan-to-scan and scan-to-map matching strategy, we achieve high local consistency without suffering from long-term drift. Thus, we eliminate the reliance on GNSS for the creation of georeferenced maps. The results demonstrate that LiDAR-only mapping can produce accurate georeferenced point cloud maps when augmented with existing map priors. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Global positioning system

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Modeling the Traffic Scene in Intelligent Transport systems for Cooperative Connected Automated Mobility 12th

Modeling the Traffic Scene in Intelligent Transport Systems ...

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2023 international conference on Smart Cities and Green ICT systems and international conference on vehicle technology and Intelligent Transport systems

作者： Yague-Cuevas, David Marin-Plaza, Pablo Sesmero, Maria-Paz Sanchis, Araceli Univ Carlos III Madrid Intelligent Syst Lab Leganes 28911 Spain Univ Carlos III Madrid Control Learning & Syst Optimizat Grp Leganes 28911 Spain

ISBN: (纸本)9783031709654;9783031709661

Cooperative, connected and automated mobility (CCAM) is a step further compared to the driving solutions of the past decade. The possibility of sharing up-to-date information about the state of the traffic infrastructure, or about any agent on the road, makes it possible to generate more complex decision systems in connected and automated vehicles. In that sense, the notion of what is happening around the vehicle, as well as the representation of relevant traffic events, becomes of vital importance for decision making processes in complex traffic situations. Before starting its journey, the vehicle systems need to have a robust and clear notion of the traffic scene, i.e. all those static and dynamic elements the vehicle can come up with while driving. Thus, this information, when processed, would provide sufficient semantics of the surroundings to find out what needs to be done next depending on the context. This chapter proposes the development and design of an information system that aims to generate the necessary data structures to represent the traffic scene information. This representation will serve, once integrated in an automated software ecosystem, to understand the traffic context and act accordingly to the semantics of the scene.

关键词： Automated driving Cooperative Connected Automated Mobility (CCAM) Intelligent Transport systems (ITS) Information system Data driven software

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Research on the application of upper limb assisted exoskeleton: A systematic review 24

Research on the application of upper limb assisted exoskelet...

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8th international conference on Electronic Information technology and Computer Engineering, EITCE 2024

作者： Hao, Yuyang Wang, Xupeng Tang, Xinyao Liu, Xiaoyi Liu, Hongyan Cheng, Xinran School of Art and Design Xi’an University of Technology Shaanxi Xi’an China

ISBN: (纸本)9798400710094

In recent years, work-related musculoskeletal disorders (WMSDs) have significantly impacted the quality of the labor force in China. Studies have shown that using upper limb exoskeletons (ULEs) can effectively reduce the muscular burden of shoulder-intensive tasks and extend working life. This reserch focuses on the research progress and outcomes of unpowered ULEs in the industrial sector. A systematic review was conducted using the PRISMA method, analyzing studies from 2019 to 2024. It was found that ULE systems face challenges, particularly in achieving effective human-shoulder coupling. Proposed solutions include increasing shoulder degrees of freedom and replacing rigid structures with flexible materials. Current research limitations include an imbalance in the number of male and female subjects and insufficient quantification of the additional burden imposed by wearing the exoskeleton systems. Future research should prioritize the optimization of mechanical structures and the development of flexible composite materials. © 2024 Copyright held by the owner/author(s).

关键词： Exoskeleton (robotics)

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Advancements in 3D X-Ray Imaging: Development and Application of a Twin Robot System 25th

Advancements in 3D X-Ray Imaging: Development and Applicatio...

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25th Annual conference on Towards Autonomous Robotic systems, TAROS 2024

作者： Asif, Seemal Hryshchenko, Yuliya Holden, Martin Contino, Matteo Adiuku, Ndidiamaka Hughes, Bryn Plastropoulos, Angelos Avdelidis, Nico Webb, Phil Centre for Robotics and Assembly Cranfield University CranfieldMK43 0AL United Kingdom Centre for Integrated Vehicle Health Management Cranfield University CranfieldMK43 0AL United Kingdom Adaptix Ltd. Oxford University Begbroke Science Park OxfordOX5 1PF United Kingdom

ISBN: (纸本)9783031720581

The development of a novel twin robot system for 3D X-ray imaging integrates advanced robotic control with mobile X-ray technology to significantly enhance diagnostic accuracy and efficiency in both medical and industrial applications. Key technical aspects, including innovative design specifications and system architecture, are discussed in detail. The twin robots operate in tandem, providing comprehensive imaging capabilities with high precision. This novel approach offers potential applications ranging from medical diagnostics to industrial inspections, significantly improving over traditional imaging methods. Preliminary results demonstrate the system’s effectiveness in producing detailed 3D images, underscoring its potential for wide-ranging uses. Future research will focus on optimizing image quality and automating the imaging process to increase utility and efficiency. This development signifies a step forward in integrating robotics and imaging technology, promising enhanced outcomes in various fields. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Medical robotics

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Deep Reinforcement Learning of Energy Management Strategy for Aging Fuel Cell Power systems

Deep Reinforcement Learning of Energy Management Strategy fo...

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2024 international conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Shuai, Qilin Hua, Qingsong Ma, Junchao Wang, Yiheng Jiang, Zhenxiong College of Nuclear Science and Technology Beijing Normal University Beijing China State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

While the combustion vehicle promote the economic development, they also bring environmental pollution and energy crisis issues. As a new type of new energy vehicle, Fuel Cell Hybrid Electric vehicles (FCHEV) attracted widespread attentions due to its chara cteristics of zero-emission and high energy density. At present, fuel economy and fuel cell aging are the important factors affecting the development of FCHEV. To this end, A deep reinforcement learning based energy management strategy (DQN) is proposed in this paper for energy management system of FCHEV, and improve the lifetime of fuel cell by reducing frequent fluctuation in fuel cell output power. The standard CycleRun are used to train the energy management strategy, and compared the training result with two benchmark energy management strategies. The result shows that the proposed energy management strategy can achieve lower computation cost, and reduce the power fluctuations. © 2025 SPIE.

关键词： Deep reinforcement learning

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Development of an Intuitive Autonomous Ground Robot for Indoor Delivery Applications 5th

Development of an Intuitive Autonomous Ground Robot for Indo...

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5th international conference on Innovative Product Design and Intelligent Manufacturing systems, ICIPDIMS 2023

作者： Peter, Jerin Thomas, Mervin Joe Gokulkrishna, S. Cholappally, Kiran Mohan, Santhakumar IIT Palakkad Technology IHub Foundation Palakkad India Robotics Laboratory Department of Mechanical Engineering NIT Karnataka Surathkal India Rajagiri School of Engineering and Technology Kakkanad India Department of Mechanical Engineering IIT Palakkad Palakkad India

ISBN: (纸本)9789819767311

Efficient and reliable parcel delivery services are always desired in different sectors such as hospitals, offices, industries and households. One promising solution to meet, this need is the application of Autonomous Mobile Robots (AMRs) capable of navigating complex indoor environments to deliver packages and goods. Generally, AMRs are used for the last-mile delivery of parcels. The end users of such robots have different skill sets, and the robot must have a simple user interface to ensure easy usability. This paper presents an AMR with an intuitive Graphic User Interface (GUI) and aesthetic design. It is enough for the end user to define the goal locations on the resulting map shown on the robot screen. The AMR will autonomously navigate to the given goal location. Besides, the effectiveness of sensor fusion and a comparative study of various combinations of sensor fusion are also described in this paper. In addition, the application of LiDAR odometry and its performance is also analyzed in this paper. The primary objective of this study is to identify an approach that improves the AMR’s tracking accuracy and makes it suitable for dynamic work environments. This paper describes the development of an AMR for last-mile delivery purposes, and its proof of concept is evaluated on the fabricated prototype. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Motion planning

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Field Application of Austenitic Filler Metals for Repairing Rail Surface Defects in Paved Tracks 3rd

Field Application of Austenitic Filler Metals for Repairing ...

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3rd international conference on Cognitive Mobility, CogMob 2024

作者： Brautigam, András Harangozó, Dóra Sysyn, Mykola Kurhan, Dmytro Fischer, Szabolcs Central Campus Győr Vehicle Industry Research Center Széchenyi István University Győr Hungary Institute of Railway Systems and Public Transport Technical University of Dresden Dresden Germany Department Transport Infrastructure Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9783031817984

Previous research by the authors identified a welding technology to repair rail defects in tramways with partial disassembly and partial preheating, with the following main advantages for the operator: the process can be carried out during operational downtime or even during traffic, disassembly, and repair costs are reduced, and traffic disruption is reduced compared to conventional hard surfacing welding technologies. After welding, the hardening under traffic should approach the vehicle wheels’ hardness values (310–350 HB). In the track measurements under investigation, welds were made on two different rail grades using austenitic weld metal with high elongation relative to the rails, which was also compared with welds made by conventional hard surfacing welding. The present study aims to determine the hardening function of austenitic dowel bars at different layer counts by performing continuous hardness measurements at the investigated sites. The hardening shows a power function at the initial stage and a linear trend after about 2.5 million MGT. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Austenite

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