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检索条件"任意字段=27th Conference on Intelligent Robots and Computer Vision: Algorithms and Techniques"

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ICACS 2024 - Proceedings of the 2024 8th International conference on algorithms, Computing and Systems

ICACS 2024 - Proceedings of the 2024 8th International Confe...

引用

8th International conference on algorithms, Computing and Systems, ICACS 2024

ISBN: (纸本)9798400718304

the proceedings contain 24 papers. the topics discussed include: autonomous floating garbage collection device using computer vision and robotics;coordinated optimization of scheduling and path planning for delivery robots in intelligent manufacturing workshops;a preliminary study of the stressed and drowsy driving prediction models using semi-supervised learning;axial capacity prediction of concrete externally strengthened by low-cost natural fiber reinforced polymer composite utilizing machine learning intelligence;enhancing brain tumor diagnosis: a cutting-edge ensemble deep learning approach;a comparative study of sentiment analysis on twitter and reddit using deep learning techniques;generative artificial intelligence for future education: current research status, hot spots, and research trends;methodological considerations for anonymizing tabular data using generative adversarial networks;and data migration in large scale storage systems with varying file sizes.

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IoT-Based Automation System for Vertical Hydroponic Farms 26

IoT-Based Automation System for Vertical Hydroponic Farms

引用

26th International conference on Industrial Technology, ICIT 2025

作者： Kumburage, D.K. Hewavitharana, H.V.T.G. Perera, M.N.T. Amarasinghe, Y.W.R. Jayathilaka, W.A.D.M. University of Moratuwa Dept. of Mechanical Engineering Sri Lanka

ISBN: (纸本)9798331521950

Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. this paper introduces an IoT-integrated automated system designed to perform labor intensive and repetitive tasks in hydroponic farming. the proposed system integrates a robotic platform for transplanting and inspecting plants, as well as an intelligent controller to control and monitor greenhouse conditions and nutrient solution parameters. To enhance performance and accessibility, the system is integrated with an IoT platform, which includes a user-friendly web interface, enabling remote monitoring and control. Key features such as computer vision techniques and advanced control algorithms are implemented to maximize operational efficiency. Experimental results validate its ability to reduce labor, improve productivity, and ensure consistent crop quality. this solution highlights the potential for scalable and sustainable advancements in modern agriculture. © 2025 IEEE.

关键词： intelligent robots

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HS-Gen: Human-Like Handwriting Synthetic Generation—A Preliminary Investigation 27th

HS-Gen: Human-Like Handwriting Synthetic Generation—A Preli...

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27th International conference on Pattern Recognition, ICPR 2024

作者： Bensalah, Asma Parziale, Antonio Coccaro, Rosanna Marcelli, Angelo Fornés, Alicia Lladós, Josep Computer Vision Center Universitat Autònoma de Barcelona Barcelona Spain Computer Science Department Universitat Autònoma de Barcelona Barcelona Spain DIEM University of Salerno Via Giovanni Paolo II 132 SA Fisciano84084 Italy AI3S Unit CINI National Laboratory of Artificial Intelligence and Intelligent Systems University of Salerno SA Fisciano Italy

ISBN: (纸本)9783031876592

the application of handwriting analysis in the health field for early detection and diagnosis is limited by a lack of data, which presents a significant challenge for the implementation of deep learning-based models. To address this issue, numerous studies have focused on generating synthetic data. Current methods for generating synthetic handwriting from offline images, including generative models and geometrical techniques, fail to account for the kinematics of handwriting movements, which is critical for achieving more human-like results. To address this limitation, we propose a novel, human-like approach for the synthetic generation of handwriting or drawing from offline images. this method creates new samples by incorporating a trajectory recovery algorithm and a human-like time law generator, as well as the extraction and manipulation of kinematic parameters. the evaluation of the proposed method from both visual and kinematic perspectives demonstrates its potential applicability across a wide range of devices and handwriting styles. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep learning

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the 17th Annual intelligent Ground Vehicle Competition: intelligent robots Built by intelligent Students

The 17TH Annual Intelligent Ground Vehicle Competition: Inte...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： theisen, Bernard L. USA TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819479327

the intelligent Ground Vehicle Competition (IGVC) is one of four unmanned systems student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). the IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned ground vehicle. Teams from around the world focus on developing a suite of dual-use technologies to equip their system of the future with intelligent driving capabilities. Over the past 17 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 70 universities and colleges have participated. this paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. the primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. the employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

关键词： intelligent robots autonomous systems ground vehicles engineering education IGVC

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Robust obstacles detection and tracking using disparity for car driving assistance

Robust obstacles detection and tracking using disparity for ...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Gouiffes, M. Patri, A. Vasiliu, M. Univ Paris 11 Inst Elect Fondamentale UMR 8622 F-91405 Orsay France

ISBN: (纸本)9780819479327

this paper proposes a contribution for obstacles detection and tracking in the context of car-driving assistance. On the basis of the uv-disparity(9) designed for in-vehicle stereovision, we propose a robust procedure to detect the objects located on the road plane. this detection is used as an initialization stage for a real-time template matching procedure based on the minimizing of a weighted cost function. An appropriate update of the weights, based upon the quality of the previous matching and depth information, allows to track efficiently non-rigid objects in front of a clutter background. Sequences involving pedestrians are used to demonstrate the efficiency of our procedure.

关键词： uv-disparity obstacle detection intelligent vehicle robust temporal tracking

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Fast Correspondence of Unrectified Stereo Images using Genetic Algorithm and Spline Representation

Fast Correspondence of Unrectified Stereo Images using Genet...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Tippetts, Beau Lee, Dah Jye Archibald, James Brigham Young Univ Provo UT 84602 USA

ISBN: (纸本)9780819479327

Spline representations have been successfully used with a genetic algorithm to determine a disparity map for stereo image pairs. this paper describes work to modify the genetic spline algorithm to use a version of the genetic algorithm with small populations and few generations, previously referred to as "Tiny GAs", to allow algorithm implementations to achieve real-time performance. the algorithm was also targeted at unrectified stereo image pairs to reduce preprocessing making it more suitable for real-time performance. To ensure disparity map quality is preserved, the two dimensional nature of images is maintained to leverage persistent information instead of representing the images as 1-D signals as suggested in the orignal genetic spline algorithm. Experimental results are given of this modified algorithm using unrectified images.

关键词： Genetic algorithms Detection and tracking algorithms Visual process modeling Genetics Computing systems Stereo vision systems Cameras Visualization computer vision technology Machine vision

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Predictive vision from stereo video: Robust object detection for autonomous navigation using the Unscented Kalman Filter on streaming stereo images

Predictive vision from stereo video: Robust object detection...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Rosselot, Donald Aull, Mark Hall, Ernest L. Univ Cincinnati Sch Dynam Syst Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)9780819479327

A predictive object detection algorithm was developed to investigate the practicality of using advanced filtering on stereo vision object detection algorithms such as the X-H Map. Obstacle detection with stereo vision is inherently noisy and non linear. this paper describes the X-H Map algorithm and details a method of improving the accuracy with the Unscented Kalman Filter (UKF). the significance of this work is that it details a method of stereo vision object detection and concludes that the UKF is a relevant method of filtering that improves the robustness of obstacle detection given noisy inputs. this method of integrating the UKF for use in stereo vision is suitable for any standard stereo vision algorithm that is based on pixel matching (stereo correspondence) from disparity maps.

关键词： Autonomous navigation Unscented Kalman Filter stereo vision XH-map algorithm Disparity Map

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Flexible inline low cost inspection station

Flexible inline low cost inspection station

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Sung, Chen-Ko Fraunhofer Inst Informat & Data Proc IITB D-76131 Karlsruhe Germany

ISBN: (纸本)9780819479327

A possibility to reduce the investment costs is an improved functionality of the inspection station in order to awaken investors' interest to buy. A new concept for 2-D and 3-D metric and logical quality monitoring with a more accurate, flexible, economical and efficient inspection station has been developed and tested at IITB. the inspection station uses short- and wide-range sensors, an intelligent grip system and a so-called "sensor magazine" which make the inspection process more flexible. the sensor magazine consists of various sensor ports with various task-specific, interchangeable sensors. With the sensor magazine and the improved measuring methods, the testing periods and therefore the costs in factory can be substantially decreased.

关键词： Multi sensors wide- and short-range sensors intelligent grip system sensor magazine learning-capable evaluation processes flexible inline quality monitoring robot dynamic and automatic path planning

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Real-Time 3D Environment Model for Obstacle Detection and Collision Avoidance with a Mobile Service Robot

Real-Time 3D Environment Model for Obstacle Detection and Co...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Kuehnle, J. U. Danzer, M. Verl, A. Bischoff, R. Fraunhofer Inst Mfg Engn & Automat IPA Nobelstr 12 D-70569 Stuttgart Germany KUKA Roboter GmbH D-86165 Augsburg Germany

ISBN: (纸本)9780819479327

In this paper we describe a real-time 3D environment model for obstacle detection and collision avoidance with a mobile service robot. It is fully integrated in the experimental platform DESIRE. Experiments show, that all components perform well and allow for reliable and robust operation of a mobile service robot with actuating capabilities in the presence of obstacles.

关键词： 3D environment model obstacle detection collision avoidance mobile service robots 3D time-of-flight camera general-purpose computation on graphics processing unit

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Engineering Robust intelligent robots

Engineering Robust Intelligent Robots

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Hall, E. L. Ali, S. M. Alhaj Ghaffari, M. Liao, X. Cao, M. Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA Hashemite Univ Jordanstown North Ireland

ISBN: (纸本)9780819479327

the purpose of this paper is to discuss the challenge of engineering robust intelligent robots. Robust intelligent robots may be considered as ones that not only work in one environment but rather in all types of situations and conditions. Our past work has described sensors for intelligent robots that permit adaptation to changes in the environment. We have also described the combination of these sensors with a "creative controller" that permits adaptive critic, neural network learning, and a dynamic database that permits task selection and criteria adjustment. However, the emphasis of this paper is on engineering solutions which are designed for robust operations and worst case situations such as day night cameras or rain and snow solutions. this ideal model may be compared to various approaches that have been implemented on "production vehicles and equipment" using Ethernet, CAN Bus and JAUS architectures and to modern, embedded, mobile computing architectures. Many prototype intelligent robots have been developed and demonstrated in terms of scientific feasibility but few have reached the stage of a robust engineering solution. Continual innovation and improvement are still required. the significance of this comparison is that it provides some insights that may be useful in designing future robots for various manufacturing, medical, and defense applications where robust and reliable performance is essential.

关键词： intelligent robots robust engineering eclecticism creative control reinforcement learning adaptive critic

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