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

共 375 条记录，以下是301-310 订阅

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Wireless video monitoring and robot control in security applications

Wireless video monitoring and robot control in security appl...

引用

Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Nurkkala, Eero A. Pyssysalo, Tino Roning, Juha Dep of Electrical Engineering Oulu Finland

This research focuses on applications based on wireless monitoring and robot control, utilizing motion image and augmented reality. These applications include remote services and surveillance-related functions such as remote monitoring. A remote service can be, for example, a way to deliver products at a hospital or old people's home. Due to the mobile nature of the system, monitoring at places with privacy concerns is possible. On the other hand, mobility demands wireless communications. Suitable and present technologies for wireless video transfer are weighted. Identification of objects with the help of Radio Frequency Identifying (RFID) technology and facial recognition results in intelligent actions, for example, where the control of a robot does not require extensive workload from the user. In other words, tasks can be partially autonomous. RFID can be also used in augmentation of the video view with virtual objects. As a real-life experiment, a prototype environment is being constructed that consists of a robot equipped with a video camera and wireless links to the network and multimedia computer.

关键词： intelligent robots

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Reducing Computation Requirements for Autonomous Mobile robots on Low Powered Embedded Systems

Reducing Computation Requirements for Autonomous Mobile Robo...

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2023 IEEE International conference on Modelling, Simulation and intelligent Computing, MoSICom 2023

作者： Pathak, Abhinav Singhal, Aditya Tewari, Adit Jain, Aadish Kalaichelvi, V. Birla Institute of Technology and Science Pilani Department of Computer Science Dubai United Arab Emirates Birla Institute of Technology and Science Pilani Department of Electrical and Electronics Engineering Dubai United Arab Emirates Birla Institute of Technology and Science Pilani Department of Electrical and Electronics Engineering United Arab Emirates

ISBN: (纸本)9798350393415

Fully autonomous mobile robots have the potential to revolutionize various industries, from warehouse management to hospital logistics and last-mile deliveries. However, a significant obstacle to achieving reliable autonomy lies in the high computational and energy requirements. In response to this challenge, our paper introduces two innovative algorithms: the Pure Image Segmentation Approach (PISA) and the UNet Based Approach to Semantic Segmentation (UBASS). PISA leverages classical computer vision techniques, offering a fresh perspective on solving crucial tasks such as object detection, object avoidance, and lane detection. In contrast, UBASS harnesses the power of deep learning algorithms for semantic segmentation, unlocking new capabilities in robot perception. Our experiments showcase the effectiveness of these algorithms, demonstrating their accuracy and computational efficiency. Notably, PISA and UBASS outperform or match traditional techniques, including End-to-End Deep Learning and Canny Edge Detection, in terms of both task performance and resource utilization. This research contributes to the advancement of autonomous mobile robotics by offering practical and efficient solutions for navigation and perception challenges. By combining classic and contemporary approaches, we aim to inspire further research in the field, ultimately paving the way for more accessible and dependable autonomous mobile robots. © 2023 IEEE.

关键词： computer vision

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Illuminant-adaptive diffractive-optical RGB-color sensor: 3D grating-optical cross-correlator calculating colored shadows in human vision.

Illuminant-adaptive diffractive-optical RGB-color sensor: 3D...

引用

conference on intelligent robots and computer vision XXI

作者： Lauinger, N DATRON Sensorsyst GmbH CORRSYS Wetzlar Germany

ISBN: (纸本)081945155X

Colored shadows are observed when two differently colored lights are combined in twilights. When both lights add to an equi-energy white 'balanced' spectrum, the hues of the shadows show regular opponent colors, being reciprocals of the colors of the lights. When a white and a colored light in a twilight add to an 'unbalanced' spectrum, the hues of the shadows result from the same laws of opponency and reciprocity, but the eyes see "what they have optically calculated" instead of seeing "what really (physically) there is". At adaptation to the colored light, unbalanced states in physics become physiologically re-balanced by diffractive-optical chromatic resonance, guaranteeing color constancy at variations of illuminants. Colored shadows can be interpreted as serial products of diffractive 3D :grating-optical von Laue interferences and of optical cross-correlations between local and global information in the human eye. The human eye's hardware, with diffractive-optical multi-layer gratings in aperture and image space, represents an illuminant-adaptive diffractive-optical RGB Color Sensor guaranteeing color space normalization towards RGB equilibrium states (RGB white norms) in reciprocal grating space.

关键词： RGB color model Eye Bismuth Silicon Sun Visible radiation Physics Colorimetry Diffraction Diffraction gratings

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Saturation in active vision systems and its effects on tracking performance

Saturation in active vision systems and its effects on track...

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Cahn von Seelen, Ulf M. Bajcsy, Ruzena Sensar Inc Moorestown United States

Linear models are a popular tool to characterize the performance of active vision systems. They cannot, however, capture the nonlinear limits of the system performance that arise out of the physical limitations of the real system. We examine how the finite field of view and the limited motor torque impose bounds on the linear operation of an active vision system in a fixation task. We derive the bounds by analyzing a real active vision system and measuring its response to repeatable and controllable target motions generated by a robot arm. The knowledge of the operational bounds can guide us in deciding which aspects of the active vision system to improve for better overall performance.

关键词： computer vision

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Active object recognition using appearance-based representations derived from solid geometric models

Active object recognition using appearance-based representat...

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Sipe, Michael A. Casasent, David Carnegie Mellon Univ Pittsburgh United States

We present new test results for our active object recognition algorithms. The algorithms are used to classify and estimate the pose of objects in different stable rest positions and automatically re-position the camera if the class or pose of an object is ambiguous in a given image. Multiple object views are now used in determining both the final object class and pose estimate;previously, multiple views were used for classification only. A feature space trajectory (FST) in eigenspace is used to represent 3-D distorted views of an object. FSTs are constructed using images rendered from solid models. We discuss lighting and material settings for photorealism in the rendering process. The FSTs are analyzed to determine the camera positions that best resolve ambiguities. Real objects are recognized from intensity images using the FST representation derived from rendered imagery.

关键词： computer vision

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Design development of steering and speed control for an intelligent mobile robot

Design development of steering and speed control for an inte...

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Kolli, Kalyan Chakravarthi Kola, Krishnamohan Hall, Ernest L. Univ of Cincinnati Cincinnati United States

Exploratory research on the design of a modular autonomous mobile robot controller for steering and speed control is described. The high level control of the robot incorporates a fuzzy logic approach. Steering and speed control are achieved using a three-axis Galil motion controller. The steering mechanism and the speed control involve the parallel control of the robot's two front wheels based on decisions made by the upper level fuzzy logic to guide the robot in a desired direction to follow a specific path and avoid obstacles in that path. The steering motors are Electrocraft brush DC motor. The BDC amplifiers are run in the current loop mode. The overall control is supervised by a personal computer through the multi-axis controller. The system has been simulated on Matlab and Simulink and optimal values for the digital gains were achieved for desired control. Testing of these systems has been done in a laboratory setting as well as on an outside track with positive results.

关键词： Mobile robots

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Comparison of optical modeling and neural networks for robot guidance

Comparison of optical modeling and neural networks for robot...

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Parasnis, Sameer Velidandla, Sasanka Hall, Ernest Anand, Sam Univ of Cincinnati Cincinnati United States

A truly autonomous robot must sense its environment and react appropriately. These issues attain greater importance in an outdoor, variable environment. Previous mobile robot perception systems have relied on hand-coded algorithms for processing sensor information. Recent techniques involve the use of artificial neural networks to process sensor data for mobile robot guidance. A comparison of a fuzzy logic control for an AGV and a neural network perception is described in this work. A mobile robot test bed has been constructed using a golf cart base. The test bed has a fuzzy logic controller which uses both vision and obstacle information and provides the steering and speed controls to the robot. A feed-forward neural network is described to guide the robot using vision and range data. Suitable criteria for comparison will be formulated and the hand-coded system compared with a connectionist model. A comparison of the two systems, with performance, efficiency and reliability as the criteria, will be achieved. The significance of this work is that it provides comparative tradeoffs on two important robot guidance methods.

关键词： computer vision

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Integrated Field Testing of Planetary Robotics vision processing - the PRoVisG Campaign in Tenerife 2011

Integrated Field Testing of Planetary Robotics vision proces...

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conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Paar, G. Waugh, L. Barnes, D. P. Pajdla, T. Woods, M. Graf, H. -R. Gao, Y. Willner, K. Muller, J. -P. Li, R. JOANNEUM RES Steyrergasse 17 A-8010 Graz Austria EADS Astrium Stevenage Herts England Aberystwyth Univ Aberystwyth SY23 3DB Dyfed Wales Czech Tech Univ Ctr Machine Percept Prague Czech Republic SciSys Bristol Avon BS4 5SS England CSEM Zurich Ctr CH-8005 Zurich Switzerland Surrey Space Ctr Guildford Surrey England Technical Unive Berlin Berlin Germany Univ Coll London MSSL London RH5 6NT ON Canada Ohio State Univ Columbus MS USA

ISBN: (纸本)9780819489487

In order to maximize the use of a robotic probe during its limited lifetime, scientists immediately have to be provided the best achievable visual quality of 3D data products. The EU FP7-SPACE Project PRoVisG (2008-2012) develops technology for the rapid processing and effective representation of visual data by improving ground processing facilities. In September 2011 PRoVisG held a Field Trials campaign in the Caldera of Tenerife to verify the implemented 3D vision processing mechanisms and to collect various sets of reference data in representative environment. The campaign was strongly supported by the Astrium UK Rover Bridget as a representative platform which allows simultaneous on-board mounting and powering of various vision sensors such as the Aberystwyth ExoMars PanCam Emulator (AUPE). The paper covers the preparation work for such a campaign and highlights the experiments that include standard operations-and science-related components but also data capture to verify specific processing functions. We give an overview of the captured data and the compiled and envisaged processing results, as well as a summary of the test sites, logistics and test assets utilized during the campaign.

关键词： Planetary rover planetary mapping robotic vision surface operations Mars exploration field-analogue testing planetary science

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Research and Development in intelligent Systems xxviii: Incorporating Applications and Innovations in intelligent Systems XIX - AI 2011, 31st SGAI Int. Conf. on Innovative techniques and Applications of Artificial Intelligence

Research and Development in Intelligent Systems XXVIII: Inco...

引用

31st SGAI International conference on Innovative techniques and Applications of Artificial Intelligence, AI 2011

ISBN: (纸本)9781447123170

The proceedings contain 29 papers. The topics discussed include: exploiting automatic validation in human mission planning;real-time path planning using a simulation-based Markov decision process;using a plan graph with interaction estimates for probabilistic planning;a hybrid parallel genetic algorithm for the winner determination problem in combinatorial auctions;validation sets, genetic programming and generalisation;a hyper-heuristic approach to evolving algorithms for bandwidth reduction based on genetic programming;two stage speaker verification using self organising map and multilayer perceptron neural network;investigation into computer vision methods to extract information for context based image retrieval methods;a multimodal biometric fusion approach based on binary particle optimization;choosing a case base maintenance algorithm using a meta-case base;and 2D mass-spring-like model for prediction of a sponge's behaviour upon robotic interaction.

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A target detection method in multimodal images with complex backgrounds and different views

A target detection method in multimodal images with complex ...

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IS&T/SPIE Electronic Imaging

作者： He, Zhixiang Ding, Xiaoqing State Key Laboratory of Intelligent Technology and Systems Department of Electronic Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9780819484154

Target detection in multimodal (multisensor) images is a difficult problem especially with the impact of different views and the complex backgrounds. In this paper, we propose a target detection method based on ground region matching and spatial constraints to solve it. First, the extrinsic parameters of camera are used to transform the images to reduce the impact of viewpoints differences. Then the stable ground object regions are extracted by MSER. Those regions are used to build a graph model to describe the reference image with spatial constraints to reduce the impact of multimodal and complex backgrounds. At last, the ground region matching and the model registration with sensed images are used to find the target. Using this method, we overcome those difficulties and obtain a satisfied experiment result;the final detection rate is 94.34% in our data set of visible reference images in top views and infrared sensed images in side views. © 2011 SPIE-IS&T.

关键词： Graph theory

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