An Improved Self-Learning Scene Matching Algorithm

2012 ◽  
Vol 182-183 ◽  
pp. 1928-1932
Author(s):  
Xu Sheng Wu ◽  
Ming Tie ◽  
Ling Wang
Keyword(s):  
Real Time ◽  
Movement Patterns ◽  
Guidance System ◽  
Reference Image ◽  
Matching Algorithm ◽  
The Real ◽  
Scene Matching ◽  
The Given ◽  
Self Learning ◽  
Correlation Matching

Scene matching combined guidance is one of key effective approach to improve missile’s attacking precision. The paper introduces a scene matching combined guidance system. With the given reference image, the system can match the real-time images accurately through the improved self-learning mean removal normalized product correlation matching arithmetic. At last the paper presents the simulation result in the two typical movement patterns.

scholarly journals Implementation of a real-time automatic onset time detection for surface electromyography measurement systems using NI myRIO

2016 ◽  
Vol 20 (suppl. 2) ◽  
pp. 591-602 ◽  
Author(s):  
Chaiwat Lersviriyanantakul ◽  
Apidet Booranawong ◽  
Kiattisak Sengchuai ◽  
Pornchai Phukpattaranont ◽  
Booncharoen Wongkittisuksa ◽  
...  
Keyword(s):  
Real Time ◽  
Surface Electromyography ◽  
Onset Time ◽  
Simple Algorithm ◽  
Algorithm Analysis ◽  
The Real ◽  
Measurement Systems ◽  
Smoothing Process ◽  
The Given ◽  
Semg Signals

For using surface electromyography (sEMG) in various applications, the process consists of three parts: an onset time detection for detecting the first point of movement signals, a feature extraction for extracting the signal attribution, and a feature classification for classifying the sEMG signals. The first and the most significant part that influences the accuracy of other parts is the onset time detection, particularly for automatic systems. In this paper, an automatic and simple algorithm for the real-time onset time detection is presented. There are two main processes in the proposed algorithm; a smoothing process for reducing the noise of the measured sEMG signals and an automatic threshold calculation process for determining the onset time. The results from the algorithm analysis demonstrate the performance of the proposed algorithm to detect the sEMG onset time in various smoothing-threshold equations. Our findings reveal that using a simple square integral (SSI) as the smoothing-threshold equation with the given sEMG signals gives the best performance for the onset time detection. Additionally, our proposed algorithm is also implemented on a real hardware platform, namely NI myRIO. Using the real-time simulated sEMG data, the experimental results guarantee that the proposed algorithm can properly detect the onset time in the real-time manner.

High-Speed and Robust Scene Matching Algorithm Based on ORB for SAR/INS Integrated Navigation System

2012 ◽  
Vol 241-244 ◽  
pp. 439-443
Author(s):  
Fang Chen ◽  
Yun Xi Xu
Keyword(s):  
Navigation System ◽  
High Speed ◽  
Hamming Distance ◽  
Reference Image ◽  
Integrated Navigation ◽  
Sar Images ◽  
Matching Algorithm ◽  
Integrated Navigation System ◽  
Scene Matching ◽  
Position Errors

It is important that scene matching algorithm should satisfy the requirements of real-time, robustness and high-precision for inertial integrated navigation system. And considering the serious distortion and speckle noises of SAR images, we proposed a new scene matching algorithm for the SAR/INS integrated navigation system with high-speed and robustness based on Oriented FAST and Rotated BRIEF (ORB). We started by detecting scale-space FAST-based features in combination with an efficiently computed orientation in the image. Then, we calculated feature point's Rotation-Aware BRIEF descriptor which performs well with rotation and match features by computing Hamming distance between descriptors. Finally, we adopted GroupSAC which are proposed recently to remove the false matching points and the least square algorithm for getting the distortion transformation parameters that are the aircraft position errors and rotation transform parameters between real image and reference image. Experimental results on real SAR images indicate that our algorithm is invariant to various image transformations due to rotation and scale, and also robust to speckle noise and extremely efficient to compute, better than SIFT in many situations. Therefore, our algorithm can meet the high performance needs for matching navigation in the SAR/INS integrated navigation system.

Electricity Compliance Assistivity

2020 ◽  
Vol 17 (8) ◽  
pp. 3506-3511
Author(s):  
J. Refonaa ◽  
D. Swetha ◽  
E. Supriya ◽  
Mohana Prasad ◽  
S. Dhamodaran ◽  
...  
Keyword(s):  
Real Time ◽  
Developing Country ◽  
The Real ◽  
Complaint Management ◽  
The People ◽  
Time Problem ◽  
The Given

In a developing country like India, there are nonethical ways that are following there is no guarantee that the work can be done or not within the given time. This project is based on maintenance and development of a municipal corporation. To raise the complaint to assist against electronic complaint management (ECMS) for Municipal Corporation from the above paragraph there is a smart solution that is designed where the various type of complaints given by the people are integrated based on the location of complaint. So based on the electricity complaints that have been raised from various people from same location are integrated and considered which solves the real time problem of electricity issues.

scholarly journals Dynamic Web Page Security using Fingerprint and Card System

2019 ◽  
Vol 8 (9S3) ◽  
pp. 954-956
Keyword(s):  
Real Time ◽  
Web Pages ◽  
Cyber Crime ◽  
Web Page ◽  
The Real ◽  
Finger Print ◽  
Security Issues ◽  
Dynamic Web ◽  
Card System ◽  
The Given

The Given dynamic web pages have many security issues, and it can be very difficult to handle.The goal of card and finger print system gives more security to dynamic web pages. In this paper, We clearly discuss and workout the real time example with the help of Internet. Specifically, by introducing this technology the cyber crime also be comes underthecontrol.Fingerprintverificationisanimportantbiometric techniqueforpersonalidentification.Inthispaper,wedescribethede signandimplementationofaprototypeautomaticidentityauthentic ationsystemwhichusesfingerprintstoauthenicatetheidentityofani ndividual.

Parallel Route Optimization Algorithm of Central Guidance

2013 ◽  
Vol 380-384 ◽  
pp. 1571-1575
Author(s):  
Hong Chen ◽  
Hu Xing Zhou ◽  
Juan Meng
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Data Storage ◽  
Route Optimization ◽  
Guidance System ◽  
Network Data ◽  
Traffic Network ◽  
Computing Technique ◽  
The Real ◽  
Guangzhou City

To solve the problem that the central guidance system takes too long time to calculate the shortest routes between all node pairs of network which can not meet the real-time demand of central guidance, this paper presents a central guidance parallel route optimization method based on parallel computing technique involving both route optimization time and travelers preferences by means of researching three parts: network data storage based on an array, multi-level network decomposition with travelers preferences considered and parallel shortest route computing of deque based on messages transfer. And based on the actual traffic network data of Guangzhou city, the suggested method is verified on three parallel computing platforms including ordinary PC cluster, Lenovo server cluster and HP workstations cluster. The results show that above three clusters finish the optimization of 21.4 million routes between 5631 nodes of Guangzhou city traffic network in 215, 189 and 177 seconds with the presented method respectively, which can completely meet the real-time demand of the central guidance.

Parking Navigation System Based on the Double Signal Double Display Intersection Vehicle Terminal and Automobile Internal Information

2014 ◽  
Vol 536-537 ◽  
pp. 803-808
Author(s):  
Jian Zhong Xi ◽  
Cheng Chun Han
Keyword(s):  
Real Time ◽  
Effective Means ◽  
Time Instant ◽  
Urban Traffic ◽  
Guidance System ◽  
The Real ◽  
Cross Presentation ◽  
Intelligent Terminal ◽  
Internal Information ◽  
Vehicle Terminal

In view of more and more complicate driving and parking problems in urban traffic, the parking guidance system are proposed based on a double signal double display intersection vehicle terminal. The system is based on the information interaction between intelligent terminal, vehicle terminal and vehicle of internet, and to introduce the space maze module and automobile internal information, by simulation maze module planning the different target route and its navigation through the intelligent terminal screen, at the same time instant maze module choice and determine the real-time path navigation through the on-board navigator screen, and to improve the accuracy of target navigation. The system will be the target route and real-time route through their channel respectively on the intelligent terminal and vehicle navigation cross presentation, realize the whole process of target parking navigation, or real-time navigation guidance section step by step according to the real-time parking lots, and in order to improve the parking navigation accuracy to provide an effective means of technology.

scholarly journals GPR Virtual Guidance System for Subsurface 3D Imaging

2021 ◽  
Vol 13 (11) ◽  
pp. 2154
Author(s):  
Gabbo P. H. Ching ◽  
Ray K. W. Chang ◽  
Tess X. H. Luo ◽  
Wallace W. L. Lai
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Field Experiments ◽  
Three Dimensional ◽  
Ground Surface ◽  
Guidance System ◽  
The Real ◽  
Time Offset ◽  
Auto Track ◽  
Station Unit

Three-dimensional GPR imaging requires evenly and densely distributed measurements, ideally collected without the need for ground surface markings, which is difficult to achieve in large-scale surveys. In this study, a guidance system was developed to guide the GPR operator to walk along a predesigned traverse, analogous to the flight path design of an airborne drone. The guidance system integrates an auto-track total station unit (ATTS), and by estimating the real-time offset angle and distance, guidance corrections can be provided to the operator in real time. There are two advantages: (1) reduced survey time as grid marking on the ground is no longer needed and (2) accurate positioning of each traverse. Lab and field experiments were conducted in order to validate the guidance system. The results show that with the guidance system, the survey paths were better defined and followed in terms of feature connectivity and resolution of images, and the C-scans generated were closer to the real subsurface world.

scholarly journals Study on Application of Real-time Control Method for Controlling Position of Robots in the Given Time

2020 ◽  
Vol 3 (3) ◽  
pp. 461-471
Author(s):  
Tri Cong Phung
Keyword(s):  
Operating System ◽  
Real Time ◽  
Operating Systems ◽  
Control Method ◽  
Real Time Control ◽  
Real Time Operating System ◽  
The Real ◽  
Time Control ◽  
Robot Trajectory ◽  
The Given

Controlling accurately the position and velocity of robots in a given time is an important requirement in the industry. The open-source real-time operating systems not only have more advantages than the normal operating systems in both economy and flexibility but also meet the needs. This paper concentrates on building algorithms for controlling the robot trajectory in time using a modern real-time operating system called Linux-Xenomai. Firstly, the paper analyzes several advantages of the real-time operating system Linux-Xenomai comparing general operating systems and other real-time operating systems. Secondly, a real-time controller of a 5 degree-of-freedom (DOF) robot is built based on the real-time operating system Linux-Xenomai. After that, the paper proposes algorithms to test the ability of working in time of the robot. Finally, the real experiments are done to verify the proposed algorithms.

scholarly journals Real-Time Object Detection Model

2020 ◽  
Vol 6 (12) ◽  
pp. 360-364
Author(s):  
Akash Kumar, Dr. Amita Goel Prof. Vasudha Bahl and Prof. Nidhi Sengar
Keyword(s):  
Neural Network ◽  
Computer Vision ◽  
Object Detection ◽  
Real Time ◽  
Real World ◽  
The Real ◽  
Detection Model ◽  
Bounding Boxes ◽  
The Given ◽  
Single Neural Network

Object Detection is a study in the field of computer vision. An object detection model recognizes objects of the real world present either in a captured image or in real-time video where the object can belong to any class of objects namely humans, animals, objects, etc. This project is an implementation of an algorithm based on object detection called You Only Look Once (YOLO v3). The architecture of yolo model is extremely fast compared to all previous methods. Yolov3 model executes a single neural network to the given image and then divides the image into predetermined bounding boxes. These boxes are weighted by the predicted probabilities. After non max-suppression it gives the result of recognized objects together with bounding boxes. Yolo trains and directly executes object detection on full images.

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