2008 IEEE National Aerospace and Electronics Conference最新文献_第3页

Robot Localization Using RE and Inertial Sensors 基于RE和惯性传感器的机器人定位

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806569

M. Zmuda, A. Elesev, Y. Morton

{"title":"Robot Localization Using RE and Inertial Sensors","authors":"M. Zmuda, A. Elesev, Y. Morton","doi":"10.1109/NAECON.2008.4806569","DOIUrl":"https://doi.org/10.1109/NAECON.2008.4806569","url":null,"abstract":"A mobile robot must know its position in order to operate autonomously. The process of determining the robot's absolute position from sensor data is called robot localization. Sonar, inertial, RF, and laser sensors can all be used for navigation and localization purposes. These sensors can achieve good accuracy when operating in certain conditions. For example, sonar is useful when operating in a mapped environment containing known obstacles. Inertial sensors have trouble with drift, which is accentuated when moving continuously for long periods of time. By merging the results from multiple sensors, the accuracy over a wider range of conditions can be obtained. This work proposes a technique of merging heterogeneous signals from inertial and RF sensors. Since sensors have errors associated with their readings, the robot's state will be represented probabilistically. Based on the sensors used in this work, the robot's position, velocity, and acceleration will be estimated using a joint probability distribution function (PDF). At each time step, this PDF will be updated based on the RF readings and then updated again based on the readings from the inertial sensor. The proposed algorithm will be applied to simulation of an uncluttered, level environment. The accuracy of the localization algorithm is compared to the accuracies obtained by other localization algorithms. The results show better localization accuracy when using the RF and inertial sensors together.","PeriodicalId":254758,"journal":{"name":"2008 IEEE National Aerospace and Electronics Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121035349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Defense against Side-Channel Power Analysis Attacks on Microelectronic Systems 微电子系统侧信道功率分析攻击防御

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806536

V. Sundaresan, S. Rammohan, R. Vemuri

引用次数: 18

Inkjet Printing of DNA for Use in Bioelectronic Applications DNA喷墨打印在生物电子学中的应用

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806527

K.M. Singh, L. Brott, J. Grote, R. Naik

引用次数: 3

Planning for a Real-Time JPEG2000 Compression System 实时JPEG2000压缩系统的规划

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806552

D. Walker, L. Hogrebe, B. Fortener, D. Lucking

{"title":"Planning for a Real-Time JPEG2000 Compression System","authors":"D. Walker, L. Hogrebe, B. Fortener, D. Lucking","doi":"10.1109/NAECON.2008.4806552","DOIUrl":"https://doi.org/10.1109/NAECON.2008.4806552","url":null,"abstract":"Since the initiation of JPEG in the mid-to-late 1980's, the JPEG standard has remained a viable solution for image compression in many applications. However, many modern applications seek significant improvements in image compression, particularly for compressed image representations at higher compression gains. Coupled with the growing interest in improving compression technology is the fact that bigger image sizes have become increasingly popular. In addition to the combined challenges of higher compression gains, large image sizes, and extremely long image sequences (e.g. in persistent surveillance durations consisting of hours, days, or months), many applications desire real-time or near real-time availability of compressed images for viewing and distribution. JPEG2000 is an often sought compression solution and is being increasingly adopted for future compression systems. However, for real-time compression systems one of the major challenges JPEG2000 presents is its very demanding computational intensity. It is this high computational intensity that mitigates much of the current interest in expanding JPEG2000's use in embedded and real-time applications. Planning for the implementation of a JPEG2000 system requires addressing all of the challenges listed above, particularly the computational needs. Fortunately, this intensive processing can be partitioned into concurrent processing modules that are suitable for FPGA implementation. This paper focuses on providing an outline of the major components of a JPEG2000 encoder and the requirements they impose for an example embedded application.","PeriodicalId":254758,"journal":{"name":"2008 IEEE National Aerospace and Electronics Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129356967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Reconfigurable and Evolvable Architecture for Autonomous on-board systems 自主车载系统的可重构和进化架构

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806550

Y. Shiyanovskii, F. Wolff, C. Papachristou, D. McIntyre

引用次数: 0

Dynamically Reconfigurable Radios from a High-Level Specification 来自高级规格的动态可重构无线电

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806546

S. Craven, P. Athanas

引用次数: 0

Fault Modeling and Analysis for Bridging Defects in a Synchronizer 同步器桥接缺陷故障建模与分析

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806580

Hyoung-Kook Kim, W. Jone

引用次数: 0

Safety-Centric Design of Distributed Embedded Avionics 以安全为中心的分布式嵌入式航空电子设计

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806561

R. Vemuri, M. Borowczak, A. Avakian

引用次数: 0

FPGA Based Sensory/Actuation Embedded System 基于FPGA的传感/驱动嵌入式系统

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806554

M. Jamali, B. Tran

引用次数: 1

Sensor Management Fusion Using Operating Conditions 使用工况的传感器管理融合

2008 IEEE National Aerospace and Electronics Conference Pub Date : 2008-07-16 DOI: 10.1109/NAECON.2008.4806559

B. Kahler, Erik Blasch

{"title":"Sensor Management Fusion Using Operating Conditions","authors":"B. Kahler, Erik Blasch","doi":"10.1109/NAECON.2008.4806559","DOIUrl":"https://doi.org/10.1109/NAECON.2008.4806559","url":null,"abstract":"System control includes sensor management, user refinement, and mission accomplishment (SUM). An example of simultaneous tracking and identification includes (1) mission goals of resource appropriation and goal priorities, (2) user selection of targets and areas of coverage, and (3) fusion of data and sensory information. Many sensor management (SM) approaches are data-driven which includes filtering, aggregation, and normalization; however that does not include intelligent design. A top-down approach would facilitate the use of the right sensor, collecting the needed information, at the correct time. In order to better design SM algorithms, we utilize sensor, target, environmental, and automatic target recognition performance models for automatic target exploitation (ATE) prediction. Similar to pruning nodes in a Bayes net aggregation, a sensor manager can utilize the operating conditions (OCs) {i.e. sensor, target, environment} to condition the cost function, sensor-to-target assignment constraints, and scheduling times. An example is presented of determining task value of electro-optical sensor selection and scheduling based on the range to target, target size, and environmental conditions (e.g. occlusions). The key aspect of the SMOC provides accurate assignment and scheduling based on up-to-date database information, a capabilities matrix, and pragmatic sensor use to improve task satisfaction.","PeriodicalId":254758,"journal":{"name":"2008 IEEE National Aerospace and Electronics Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116269985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 76