The proceedings contain 39 papers. The topics discussed include: software-based neural network assisted movement compensation for nanoresolution piezo actuators;traffic monitoring with distributed smart cameras;effici...
ISBN:
(纸本)9780819489487
The proceedings contain 39 papers. The topics discussed include: software-based neural network assisted movement compensation for nanoresolution piezo actuators;traffic monitoring with distributed smart cameras;efficient hybrid monocular-stereo approach to on-board video-based traffic sign detection and tracking;a general model and calibration method for spherical stereoscopic vision;an approach to stereo-point cloud registration using image homographies;hazardous sign detection for safety applications in traffic monitoring;red-light traffic enforcement at railway crossings;image projection clues for improved real-time vehicle tracking in tunnels;decentralized tracking of humans using a camera network;real-time detection of traffic events using smart cameras;vehicle tracking data for calibrating microscopic traffic simulation models;and detection of unknown targets from aerial camera and extraction of simple object fingerprints for the purpose of target reacquisition.
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 ...
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ISBN:
(数字)9798331521950
ISBN:
(纸本)9798331521967
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 computervisiontechniques 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.
As part of the Modular intelligent Manipulation system with Intuitive Control program, industry is working with the U. S. Army to explore technologies that will allow a user to intuitively control multiple degree of f...
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ISBN:
(纸本)9780819484154
As part of the Modular intelligent Manipulation system with Intuitive Control program, industry is working with the U. S. Army to explore technologies that will allow a user to intuitively control multiple degree of freedom robotic arms and maintain better awareness of the operating environment through haptic feedback. In addition to reporting resistance, haptic feedback can help make operators feel like they are actually there with the robot, opening doors, unscrewing blast caps, cutting wires, or removing batteries. Coupled with intuitive controls and advanced video feedback, the goal of this project is to provide users with the sensation that the robot is an extension of their body, all from a safe distance.
In designing a tracking algorithm, utilizing several different features, e. g., color histogram, gradient histogram and other object descriptors, is preferable to increase robustness of tracking performance. In this p...
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ISBN:
(纸本)9780819484154
In designing a tracking algorithm, utilizing several different features, e. g., color histogram, gradient histogram and other object descriptors, is preferable to increase robustness of tracking performance. In this paper, we propose a multiple feature fusion framework to improve the tracking by assigning appropriate weights to individual features. The feature weights are optimally obtained by a waterfilling procedure that maximizes mutual information between target object features and query features. Especially, in this paper, we focus on a particle filter tracking implementation of the multiple feature fusion framework. Our experiments show that object tracking with multiple features outperforms single feature based tracking methods and illustrates that the proposed optimal feature weighting increases robustness of multiple-feature based tracking performance.
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 multidisc...
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ISBN:
(纸本)9780819484154
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 system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 18 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 75 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.
cr Objects detection and tracking is a key function for many applications like video surveillance, robotic, intelligent transportation systems, ... etc. This problem is widely treated in the literature in terms of sen...
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ISBN:
(纸本)9780819484154
cr Objects detection and tracking is a key function for many applications like video surveillance, robotic, intelligent transportation systems, ... etc. This problem is widely treated in the literature in terms of sensors (video cameras, laser range finder, Radar) and methodologies. This paper proposes a new approach for detecting and tracking objects using stereo vision with linear cameras. After the matching process applied to edge points extracted from the images, the reconstructed points in the scene are clustered using spectral analysis. The obtained clusters are then tracked throughout their center of gravity using a Kalman filter and a Nearest Neighbour (NN) based data association algorithm. The approach is tested and evaluated on real data to demonstrate its effectiveness for obstacle detection and tracking in front of a vehicle. This work is a part of a project that aims to develop advanced driving aid systems, supported by the CPER, STIC and Volubilis programs.
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