MULTISENSORY DETECTION SYSTEM FOR DAMAGE CONTROL AND SITUATIONAL AWARENESS

2008 ◽  
Vol 18 (03) ◽  
pp. 575-592
Author(s):  
CHRISTIAN P. MINOR ◽  
DANIEL A. STEINHURST ◽  
KEVIN J. JOHNSON ◽  
SUSAN L. ROSE-PEHRSSON ◽  
JEFFREY C. OWRUTSKY ◽  
...  
Keyword(s):  
Data Fusion ◽  
Situational Awareness ◽  
Detection System ◽  
Damage Control ◽  
Low Cost ◽  
Sensor Data ◽  
Sensor Systems ◽  
Volume Sensor ◽  
Communications Protocol ◽  
And Control

A data fusion-based, multisensory detection system, called “Volume Sensor”, was developed under the Advanced Damage Countermeasures (ADC) portion of the US Navy's Future Naval Capabilities program (FNC) to meet reduced manning goals. A diverse group of sensing modalities was chosen to provide an automated damage control monitoring capability that could be constructed at a relatively low cost and also easily integrated into existing ship infrastructure. Volume Sensor employs an efficient, scalable, and adaptable design framework that can serve as a template for heterogeneous sensor network integration for situational awareness. In the development of Volume Sensor, a number of challenges were addressed and met with solutions that are applicable to heterogeneous sensor networks of any type. These solutions include: 1) a uniform, but general format for encapsulating sensor data, 2) a communications protocol for the transfer of sensor data and command and control of networked sensor systems, 3) the development of event specific data fusion algorithms, and 4) the design and implementation of modular and scalable system architecture. In full-scale testing on a shipboard environment, two prototype Volume Sensor systems demonstrated the capability to provide highly accurate and timely situational awareness regarding damage control events while simultaneously imparting a negligible footprint on the ship's 100 Mbps Ethernet network and maintaining smooth and reliable operation in a real-time fashion.

The Design of Spectrometer Detection and Control System Based on C8051F350

2012 ◽  
Vol 190-191 ◽  
pp. 1191-1194
Author(s):  
Yuan Yuan Zhao ◽  
Jie Sun
Keyword(s):  
Control System ◽  
Data Fusion ◽  
Detection System ◽  
Sensor Data ◽  
Serial Port ◽  
Fusion Technology ◽  
Photoelectric Detection ◽  
Multi Sensor Data Fusion ◽  
Spectrometer System ◽  
And Control

This paper designed a photoelectric detection system based on C8051F350 , which can be used in the grating spectrometer system. Aiming at traditional detecing methods, this paper puts forward a multi sensor data fusion technology which can fuse detecting data from multi photomultipliers. It has very strong practicability that detection data can be transmit to the computer through the serial port to draw curve of spectrum.

scholarly journals Development and Evaluation of a Low-Drift Inertial Sensor-Based System for Analysis of Alpine Skiing Performance

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2480
Author(s):  
Isidoro Ruiz-García ◽  
Ismael Navarro-Marchal ◽  
Javier Ocaña-Wilhelmi ◽  
Alberto J. Palma ◽  
Pablo J. Gómez-López ◽  
...  
Keyword(s):  
Data Fusion ◽  
Reference System ◽  
Inertial Sensor ◽  
Low Cost ◽  
Sampling Rate ◽  
Sensor Data ◽  
Fusion Algorithm ◽  
Improve Technique ◽  
Worst Case ◽  
Sensor Data Fusion

In skiing it is important to know how the skier accelerates and inclines the skis during the turn to avoid injuries and improve technique. The purpose of this pilot study with three participants was to develop and evaluate a compact, wireless, and low-cost system for detecting the inclination and acceleration of skis in the field based on inertial measurement units (IMU). To that end, a commercial IMU board was placed on each ski behind the skier boot. With the use of an attitude and heading reference system algorithm included in the sensor board, the orientation and attitude data of the skis were obtained (roll, pitch, and yaw) by IMU sensor data fusion. Results demonstrate that the proposed IMU-based system can provide reliable low-drifted data up to 11 min of continuous usage in the worst case. Inertial angle data from the IMU-based system were compared with the data collected by a video-based 3D-kinematic reference system to evaluate its operation in terms of data correlation and system performance. Correlation coefficients between 0.889 (roll) and 0.991 (yaw) were obtained. Mean biases from −1.13° (roll) to 0.44° (yaw) and 95% limits of agreements from 2.87° (yaw) to 6.27° (roll) were calculated for the 1-min trials. Although low mean biases were achieved, some limitations arose in the system precision for pitch and roll estimations that could be due to the low sampling rate allowed by the sensor data fusion algorithm and the initial zeroing of the gyroscope.

scholarly journals LOW-COST NAVIGATION AND GUIDANCE SYSTEMS FOR UNMANNED AERIAL VEHICLES — PART 2: ATTITUDE DETERMINATION AND CONTROL

2013 ◽  
Vol 20 (1) ◽  
pp. 97-126 ◽  
Author(s):  
Roberto Sabatini ◽  
Leopoldo Rodríguez ◽  
Anish Kaharkar ◽  
Celia Bartel ◽  
Tesheen Shaid ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Attitude Determination ◽  
Low Cost ◽  
Sensor Data ◽  
Measurement Unit ◽  
Medium Size ◽  
Integrated Navigation ◽  
Aerial Vehicles ◽  
Guidance Systems ◽  
And Control

ABSTRACT This paper presents the second part of the research activity performed by Cranfield University to assess the potential of low-cost navigation sensors for Unmanned Aerial Vehicles (UAVs). This part focuses on carrier-phase Global Navigation Satellite Systems (GNSS) for attitude determination and control of small to medium size UAVs. Recursive optimal estimation algorithms were developed for combining multiple attitude measurements obtained from different observation points (i.e., antenna locations), and their efficiencies were tested in various dynamic conditions. The proposed algorithms converged rapidly and produced the required output even during high dynamics manoeuvres. Results of theoretical performance analysis and simulation activities are presented in this paper, with emphasis on the advantages of the GNSS interferometric approach in UAV applications (i.e., low cost, high data-rate, low volume/weight, low signal processing requirements, etc.). The simulation activities focussed on the AEROSONDE UAV platform and considered the possible augmentation provided by interferometric GNSS techniques to a low-cost and low-weight/volume integrated navigation system (presented in the first part of this series) which employed a Vision-Based Navigation (VBN) system, a Micro-Electro-Mechanical Sensor (MEMS) based Inertial Measurement Unit (IMU) and code-range GNSS (i.e., GPS and GALILEO) for position and velocity computations. The integrated VBN-IMU-GNSS (VIG) system was augmented using the inteferometric GNSS Attitude Determination (GAD) sensor data and a comparison of the performance achieved with the VIG and VIG/GAD integrated Navigation and Guidance Systems (NGS) is presented in this paper. Finally, the data provided by these NGS are used to optimise the design of a hybrid controller employing Fuzzy Logic and Proportional-Integral-Derivative (PID) techniques for the AEROSONDE UAV.

Study of Grating Signal Processing Based on FPGA

2012 ◽  
Vol 490-495 ◽  
pp. 1807-1810 ◽  
Author(s):  
Yi Feng Zhu ◽  
Xu Yang ◽  
Lei Shi ◽  
Yan Fu Li
Keyword(s):  
Data Collection ◽  
Circuit Design ◽  
Data Transmission ◽  
Detection System ◽  
Sensor Data ◽  
Collection System ◽  
Data Collection System ◽  
And Control ◽  
Hardware Circuit ◽  
Measurement And Control

With the development of modern measurement and control technology,the grating sensor is widely used in the measurement of displacement and angle in precise meterage domain. Limited by the grating scratching technology,the way to improve the measurement precision of grating sensor is using electronic technique to subdivision the grating signal. This paper mainly research on raster displacement detection system based on FPGA. As the usual raster sensor data collection system has many problem,A new raster sensor data collection system was found based on FPGA &USB. In this system,FPGA was used as main controller , and the USB was used for data transmission. A whole system hardware circuit design was given in this paper, including the FPGA processing of the raster sensor signal, and the USB circuit design

Sensor Data Fusion Algorithm for Indoor Environment Mapping Using Low-Cost Sensors

2013 ◽  
Vol 24 (3) ◽  
pp. 199-211 ◽  
Author(s):  
Luciano Buonocore ◽  
Cairo Lúcio Nascimento Júnior ◽  
Areolino de Almeida Neto
Keyword(s):  
Data Fusion ◽  
Indoor Environment ◽  
Low Cost ◽  
Sensor Data ◽  
Fusion Algorithm ◽  
Sensor Data Fusion

Ship Monitoring and Control by Multisensor Data Fusion

2008 ◽  
Author(s):  
Antonio Tiano
Keyword(s):  
Data Fusion ◽  
Motion Control ◽  
Low Cost ◽  
Ship Motion ◽  
Monitoring And Control ◽  
Multisensor Data Fusion ◽  
Critical Issues ◽  
Prediction Systems ◽  
And Control ◽  
Multisensor Data

This paper discusses the applicability of ship monitoring and control by multisensor data fusion After introducing some critical issues in the area of ship motion control, an analysis is presented concerning the choice of different architecture of ship monitoring and prediction systems. A simulation study is presented concerning the design of a multisensor data fusion system for improving estimate of ship position based on low-cost onboard hardware.

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