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共 369 条记录，以下是61-70 订阅

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TDA2X, A SOC OPTIMIZED FOR ADVANCED DRIVER ASSISTANCE SYSTEMS

TDA2X, A SOC OPTIMIZED FOR ADVANCED DRIVER ASSISTANCE SYSTEM...

引用

IEEE International conference on Acoustics, Speech and Signal Processing

作者： Jagadeesh Sankaran Nikolic Zoran Texas Instruments Incorporated

ISBN: (纸本)9781479928941

TDA2X is an optimized scalable system on chip (SoC) solution from Texas Instruments that spans various application areas of ADAS such as front-camera, surround-view and the emerging area of sensor fusion. It accomplishes this through a focused set of heterogeneous processors, brought together in a scalable architecture with a rich set of integrated peripherals, providing an optimal mix of performance in a low power footprint for Advanced Driver Assistance Systems (ADAS) vision analytics. Computer vision algorithms across the various ADAS application systems have a rich variation and diversity in processing requirements along with the need to run them concurrently within challenging thermal budgets. A heterogeneous architecture with various programmable elements allows system developers to map various portions of the algorithms to the architectures that are best suited for the underlying task allowing maximizing system performance and reducing development time and effort in developing these complex systems. Scalability of the architecture by varying the number of cores and clock speeds of these heterogeneous architectures, allows for scalability in performance and power across low, mid and high end products with one software investment. A critical focus on functional safety across the cores and various memories is particularly essential given the mission critical nature of ADAS applications.

关键词： advanced driver assistance systems (ADAS) ARCHITECTURE Scalability core Building construction extensible architecture Drivers system-on-chip program area sensor fusion end products development time Timing devices System performance

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Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall

Real-time tracking and fast retrieval of persons in multiple...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Bouma, Henri Baan, Jan Landsmeer, Sander Kruszynski, Chris van Antwerpen, Gert Dijk, Judith TNO POB 96864 NL-2509 JG The Hague Netherlands

ISBN: (纸本)9780819495471

The capability to track individuals in CCTV cameras is important for e.g. surveillance applications at large areas such as train stations, airports and shopping centers. However, it is laborious to track and trace people over multiple cameras. In this paper, we present a system for real-time tracking and fast interactive retrieval of persons in video streams from multiple static surveillance cameras. This system is demonstrated in a shopping mall, where the cameras are positioned without overlapping fields-of-view and have different lighting conditions. The results show that the system allows an operator to find the origin or destination of a person more efficiently. The misses are reduced with 37%, which is a significant improvement.

关键词： Surveillance tracking CCTV person re-identification multi-sensor fusion

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Performance Analysis of Image fusion Methods in Transform Domain

Performance Analysis of Image Fusion Methods in Transform Do...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Choi, Yoonsuk Sharifahmadian, Ershad Latifi, Shahram Univ Nevada Dept Elect & Comp Engn 4505 Maryland Pkwy Las Vegas NV 89154 USA

ISBN: (纸本)9780819495471

Image fusion involves merging two or more images in such a way as to retain the most desirable characteristics of each. There are various image fusion methods and they can be classified into three main categories: i) Spatial domain, ii) Transform domain, and iii) Statistical domain. We focus on the transform domain in this paper as spatial domain methods are primitive and statistical domain methods suffer from a significant increase of computational complexity. In the field of image fusion, performance analysis is important since the evaluation result gives valuable information which can be utilized in various applications, such as military, medical imaging, remote sensing, and so on. In this paper, we analyze and compare the performance of fusion methods based on four different transforms: i) wavelet transform, ii) curvelet transform, iii) contourlet transform and iv) nonsubsampled contourlet transform. fusion framework and scheme are explained in detail, and two different sets of images are used in our experiments. Furthermore, various performance evaluation metrics are adopted to quantitatively analyze the fusion results. The comparison results show that the nonsubsampled contourlet transform method performs better than the other three methods. During the experiments, we also found out that the decomposition level of 3 showed the best fusion performance, and decomposition levels beyond level-3 did not significantly affect the fusion results.

关键词： Curvelet contourlet decomposition nonsubsampled contourlet wavelet

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Scalable sensor management for automated fusion and tactical reconnaissance

Scalable sensor management for automated fusion and tactical...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Walls, Thomas J. Wilson, Michael L. Partridge, Darin C. Haws, Jonathan R. Jensen, Mark D. Johnson, Troy R. Petersen, Brad D. Sullivan, Stephanie W. Naval Res Lab 4555 Overlook Ave SW Washington DC 20375 USA

ISBN: (纸本)9780819495471

The capabilities of tactical intelligence, surveillance, and reconnaissance (ISR) payloads are expanding from single sensor imagers to integrated systems-of-systems architectures. Increasingly, these systems-of-systems include multiple sensing modalities that can act as force multipliers for the intelligence analyst. Currently, the separate sensing modalities operate largely independent of one another, providing a selection of operating modes but not an integrated intelligence product. We describe here a sensor Management System (SMS) designed to provide a small, compact processing unit capable of managing multiple collaborative sensor systems on-board an aircraft. Its purpose is to increase sensor cooperation and collaboration to achieve intelligent data collection and exploitation. The SMS architecture is designed to be largely sensor and data agnostic and provide flexible networked access for both data providers and data consumers. It supports pre-planned and ad-hoc missions, with provisions for on-demand tasking and updates from users connected via data links. Management of sensors and user agents takes place over standard network protocols such that any number and combination of sensors and user agents, either on the local network or connected via data link, can register with the SMS at any time during the mission. The SMS provides control over sensor data collection to handle logging and routing of data products to subscribing user agents. It also supports the addition of algorithmic data processing agents for feature/target extraction and provides for subsequent cueing from one sensor to another. The SMS architecture was designed to scale from a small UAV carrying a limited number of payloads to an aircraft carrying a large number of payloads. The SMS system is STANAG 4575 compliant as a removable memory module (RMM) and can act as a vehicle specific module (VSM) to provide STANAG 4586 compliance (level-3 interoperability) to a non-compliant sensor system. Th

关键词： multi-INT data fusion sensing modality sensor management network sensor tasking automation algorithmic processing scalable systems-of-systems

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Considerations for Multiple Hypothesis Correlation on Tactical Platforms

Considerations for Multiple Hypothesis Correlation on Tactic...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Thomas, Alan M. Turpen, James E. Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30318 USA

ISBN: (纸本)9780819495471

Tactical platforms benefit greatly from the fusion of tracks from multiple sources in terms of increased situation awareness. As a necessary precursor to this track fusion, track-to-track association, or correlation, must first be performed. The related measurement-to-track fusion problem has been well studied with multiple hypothesis tracking and multiple frame assignment methods showing the most success. The track-to-track problem differs from this one in that measurements themselves are not available but rather track state update reports from the measuring sensors. Multiple hypothesis, multiple frame correlation systems have previously been considered;however, their practical implementation under the constraints imposed by tactical platforms is daunting. The situation is further exacerbated by the inconvenient nature of reports from legacy sensor systems on bandwidth-limited communications networks. In this paper, consideration is given to the special difficulties encountered when attempting the correlation of tracks from legacy sensors on tactical aircraft. Those difficulties include the following: covariance information from reporting sensors is frequently absent or incomplete;system latencies can create temporal uncertainty in data;and computational processing is severely limited by hardware and architecture. Moreover, consideration is given to practical solutions for dealing with these problems in a multiple hypothesis correlator.

关键词： Data Association Multiple Hypothesis Correlation Multiple Hypothesis Tracking Avionics Information fusion sensors

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Enhancing situational awareness by means of visualization and information integration of sensor networks

Enhancing situational awareness by means of visualization an...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Timonen, J. Vankka, J. Finnish Natl Def Univ Dept Mil Technol POB 7 FI-00861 Helsinki Finland

ISBN: (纸本)9780819495471

This paper presents a solution for information integration and sharing architecture, which is able to receive data simultaneously from multiple different sensor networks. Creating a Common Operational Picture (COP) object along with the base map of the building plays a key role in the research. The object is combined with desired map sources and then shared to the mobile devices worn by soldiers in the field. The sensor networks we used focus on location techniques indoors, and a simple set of symbols is created to present the information, as an addition to NATO APP6B symbols. A core element in this research is the MUSAS (Mobile Urban Situational Awareness System), a demonstration environment that implements central functionalities. Information integration of the system is handled by the Internet Connection Engine (Ice) middleware, as well as the server, which hosts COP information and maps. The entire system is closed, such that it does not need any external service, and the information transfer with the mobile devices is organized by a tactical 5 GHz WLAN solution. The demonstration environment is implemented using only commercial off-theshelf (COTS) products. We have presented a field experiment event in which the system was able to integrate and share real time information of a blue force tracking system, received signal strength indicator (RSSI) based intrusion detection system, and a robot using simultaneous location and mapping technology (SLAM), where all the inputs were based on real activities. The event was held in a training area on urban area warfare.

关键词： Common Operational Picture information integration urban warfare wireless sensor platform Mobile Urban Area Situational Awareness System Situational Awareness

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Enhanced obstacle detection based on Data fusion for ADAS applications

Enhanced obstacle detection based on Data Fusion for ADAS ap...

引用

2013 16th International IEEE conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013

作者： Garcia, Fernando De La Escalera, Arturo Armingol, Jose Maria Intelligent Systems Lab. Universidad Carlos III of Madrid Spain

ISBN: (纸本)9781479929146

fusion is a common topic nowadays in Advanced Driver Assistance Systems (ADAS). The demanding requirements of safety applications require trustable sensing technologies. fusion allows to provide trustable detections by combining different sensor devices, fulfilling the requirements of safety applications. High level fusion scheme is presented;able to improve classic ADAS systems by combining different sensing technologies i.e. laser scanner and computer vision. By means of powerful Data fusion (DF) algorithms, the performance of classic ADAS detection systems is enhanced. fusion is performed in a decentralized scheme (high level), allowing scalability;hence new sensing technologies can easily be added to increase the trustability and the accuracy of the overall system. Present work focus in the Data fusion scheme used to combine the information of the sensors at high level. Although for completeness some details of the different detection algorithms (low level) of the different sensors is provided. The proposed work adapts a powerful Data Association technique for Multiple Targets Tracking (MTT): Joint Probabilistic Data Association (JPDA) to improve the trustability of the ADAS detection systems. The final application provides real time detection of road users (pedestrians and vehicles) in real road situations. The tests performed proved the improvement of the use of Data fusion algorithms. Furthermore, comparison with other classic algorithms such as Global Nearest Neighbors (GNN) proved the performance of the overall architecture. © 2013 IEEE.

关键词： Advanced driver assistance systems

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Bioinspired Polarization Navigation sensor for Autonomous Munitions Systems

Bioinspired Polarization Navigation Sensor for Autonomous Mu...

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conference on Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring iii

作者： Giakos, G. C. Quang, T. Farrahi, T. Deshpande, A. Narayan, C. Shrestha, S. Li, Y. Agarwal, M. Univ Akron Dept Elect & Comp Engn Akron OH 44325 USA

ISBN: (纸本)9780819495143

Small unmanned aerial vehicles UAVs (SUAVs), micro air vehicles (MAVs), Automated Target Recognition (ATR), and munitions guidance, require extreme operational agility and robustness which can be partially offset by efficient bioinspired imaging sensor designs capable to provide enhanced guidance, navigation and control capabilities (GNC). Bioinspired-based imaging technology can be proved useful either for long-distance surveillance of targets in a cluttered environment, or at close distances limited by space surroundings and obstructions. The purpose of this study is to explore the phenomenology of image formation by different insect eye architectures, which would directly benefit the areas of defense and security, on the following four distinct areas: a) fabrication of the bioinspired sensor b) optical architecture, c) topology, and d) artificial intelligence. The outcome of this study indicates that bioinspired imaging can impact the areas of defense and security significantly by dedicated designs fitting into different combat scenarios and applications.

关键词： Bioinspired sensors imaging design parameters munitions guidance Automated Target Recognition (ATR) Space surveillance target tracking artificial intelligence machine learning algorithms

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Enhanced Obstacle Detection based on Data fusion for ADAS applications

Enhanced Obstacle Detection based on Data Fusion for ADAS Ap...

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International IEEE conference on Intelligent Transportation Systems

作者： Fernando Garcia Arturo de la Escalera Jose Maria Armingol Intelligent Systems Lab. Universidad Carlos III of Madrid

ISBN: (纸本)9781479929153

关键词： Vehicles Laser modes Data integration Laser fusion Computer vision Roads

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Computationally efficient Bayesian tracking

Computationally efficient Bayesian tracking

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Aughenbaugh, Jason La Cour, Brian Univ Texas Austin Appl Res Labs Austin TX 78712 USA

ISBN: (纸本)9780819490858

In this paper, we describe the progress we have achieved in developing a computationally efficient, grid-based Bayesian fusion tracking system. In our approach, the probability surface is represented by a collection of multidimensional polynomials, each computed adaptively on a grid of cells representing state space. Time evolution is performed using a hybrid particle/grid approach and knowledge of the grid structure, while sensor updates use a measurement-based sampling method with a Delaunay triangulation. We present an application of this system to the problem of tracking a submarine target using a field of active and passive sonar buoys.

关键词： Heterogeneous sensor fusion target tracking Bayesian fusion

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