• Title/Summary/Keyword: In-Vehicle Sensor Network

Search Result 146, Processing Time 0.026 seconds

Analytical Approach of Multicasting-supported Inter-Domain Mobility Management in Sensor-based Fast Proxy Mobile IPv6 Networks

  • Jang, Ha-Na;Jeong, Jong-Pil
    • International journal of advanced smart convergence
    • /
    • v.1 no.2
    • /
    • pp.1-11
    • /
    • 2012
  • IP-based Wireless Sensor Networks (IP-WSNs) are gaining importance for their broad range of applications in health care, home automation, environmental monitoring, industrial control, vehicle telematics, and agricultural monitoring. In all these applications, a fundamental issue is the mobility in the sensor network, particularly with regards to energy efficiency. Because of the energy inefficiency of network-based mobility management protocols, they can be supported via IP-WSNs. In this paper, we propose a network-based mobility-supported IP-WSN protocol called mSFP, or the mSFP: "Multicasting-supported Inter-Domain Mobility Management Scheme in Sensor-based Fast Proxy Mobile IPv6 Networks". Based on [8,20], we present its network architecture and evaluate its performance by considering the signaling and mobility cost. Our analysis shows that the proposed scheme reduces the signaling cost, total cost, and mobility cost. With respect to the number of IP-WSN nodes, the proposed scheme reduces the signaling cost by 7% and the total cost by 3%. With respect to the number of hops, the proposed scheme reduces the signaling cost by 6.9%, the total cost by 2.5%, and the mobility cost by 1.5%. With respect to the number of IP-WSN nodes, the proposed scheme reduces the mobility cost by 1.6%.

Steering Control for Autonomous Electric Vehicle using Magetic Fields (자기장을 이용한 자율주행 전기자동차의 조향제어)

  • Kim, Tae-Gon;Son, Seok-Jun;Ryoo, Young-Jae;Kim, Eui-Sun;Lim, Young-Cheol
    • Journal of Sensor Science and Technology
    • /
    • v.10 no.2
    • /
    • pp.134-141
    • /
    • 2001
  • This paper describes a method to steer an autonomous electric vehicle using magnetic fields. Magnets are embeded along the center of the road and a magneto-resistive sensor is mounted beneath the front bumper of the vehicle. As the vehicle moves along the road neural network controller controls the vehicle using measured magnetic field variation. Based on a single magnets modeling equation, we analyzed three dimensional magnetic field distributions of embeded magnets in series on the center of the road and performed a computer simulation using this results. In simulation study, straight and curved road was configured. The steering controller for the vehicle was designed using neural network and experiment was performed on the real embeded magnets using real autonomous electric vehicle. At the experiment we compensated the earth's magnetic fields and showed a good result driving an autonomous vehicle using proposed method.

  • PDF

Classification of Tire Tread Wear Using Accelerometer Signals through an Artificial Neural Network (인공신경망을 이용한 가속도 센서 기반 타이어 트레드 마모도 판별 알고리즘)

  • Kim, Young-Jin;Kim, Hyeong-Jun;Han, Jun-Young;Lee, Suk
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.23 no.2_2
    • /
    • pp.163-171
    • /
    • 2020
  • The condition of tire tread is a key parameter closely related to the driving safety of a vehicle, which affects the contact force of the tire for braking, accelerating and cornering. The major factor influencing the contact force is tread wear, and the more tire tread wears out, the higher risk of losing control of a vehicle exits. The tire tread condition is generally checked by visual inspection that can be easily forgotten. In this paper, we propose the intelligent tire (iTire) system that consists of an acceleration sensor, a wireless signal transmission unit and a tread classifier. In addition, we also presents classification algorithm that transforms the acceleration signal into the frequency domain and extracts the features of several frequency bands as inputs to an artificial neural network. The artificial neural network for classifying tire wear was designed with an Multiple Layer Perceptron (MLP) model. Experiments showed that tread wear classification accuracy was over 80%.

Fault Detection of Propeller of an Overactuated Unmanned Surface Vehicle based on Convolutional Neural Network (합성곱신경망을 활용한 과구동기 시스템을 가지는 소형 무인선의 추진기 고장 감지)

  • Baek, Seung-dae;Woo, Joo-hyun
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.59 no.2
    • /
    • pp.125-133
    • /
    • 2022
  • This paper proposes a fault detection method for a Unmanned Surface Vehicle (USV) with overactuated system. Current status information for fault detection is expressed as a scalogram image. The scalogram image is obtained by wavelet-transforming the USV's control input and sensor information. The fault detection scheme is based on Convolutional Neural Network (CNN) algorithm. The previously generated scalogram data was transferred learning to GoogLeNet algorithm. The data are generated as scalogram images in real time, and fault is detected through a learning model. The result of fault detection is very robust and highly accurate.

A Study for Smart Overload Vehicle Regulation System (지능형 과적단속을 위한 시스템 구축 연구)

  • Jo, Byung-Wan;Yoon, Kwang-Won;Park, Jung-Hoon;Choi, Ji-Sun
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.24 no.4
    • /
    • pp.399-404
    • /
    • 2011
  • Overload vehicles have demoralizing influence upon the social overhead capital, economics of nation, traffic flow and road safe as various components. Accordingly, this study established a ubiquitous sensor network system to develop an intelligent regulation system to monitor overloaded vehicles in motion. and Unlike WIM, after detecting the axle of driving vehicles by measuring deformation of roads, this system calculates the weights of vehicles by using signals from the strain sensors installed under the road and an analysis method. Also the study conducted an simulation test for vehicle load analysis using genetic algorithm. and tested wireless sensor for USN system.

Kalman Filter Based Resilient Cyber-Physical System and its Application to an Autonomous Vehicle (칼만필터를 이용한 사이버 물리 시스템의 자율 복원성 확보 기법 및 자율주행차량 적용 연구)

  • Kim, Jae-Hoon;Kim, Dong-Gil;Lee, Dong-Ik
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.14 no.5
    • /
    • pp.239-247
    • /
    • 2019
  • Recently, successful attacks on cyber-physical systems have been reported. As existing network security solutions are limited in preventing the system from malicious attacks, appropriate countermeasures are required from the perspective of the control. In this paper, the cyber and physical attacks are interpreted in terms of actuator and sensor attacks. Based on the interpretation, we suggest a strategy for designing Kalman filters to secure the resilience and safety of the system. Such a strategy is implemented in details to be applied for the lateral control of autonomous driving vehicle. A set of simulation results verify the performance of the proposed Kalman filters.

Temperature Measurement System for Refrigerated Vehicle (냉동차량을 위한 온도 측정 시스템)

  • Lim, Yong-Jin;Kim, Jung-Hwan;Lim, Joon-hong
    • Journal of IKEEE
    • /
    • v.23 no.1
    • /
    • pp.159-163
    • /
    • 2019
  • The food service industry has been grown due to improvement of living standards. In addition, the demand for frozen food delivery is increasing day by day at online/offline and the refrigerated vehicles are used in most of these food distributions. One of the most important factors in a refrigerated car is to measure the temperature accurately. Conventional temperature recording systems are generally connected directly to temperature sensor modules. Since the temperature data are transmitted to the temperature recorder by using the electric wire, there is a disadvantage that the resistance error must be compensated according to the cable length. In this paper, we propose a method to correct errors due to cable resistance using digital processing and CAN (Controller Area Network) communication. We use PT-1000 platinum sensor to increase the accuracy of the temperature measurement.

Design of Advanced Tele-operated Control System for Unmanned Vehicle

  • Park, Jae-Hong;Son, Young-Jin;Kim, Jung-Ha
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2005.06a
    • /
    • pp.915-919
    • /
    • 2005
  • It is materialized an unmanned vehicle system as a part of Intelligent Transportation System (ITS) which is a fundamental constituent for unmanned vehicle. Remote control system, monitoring system and remote operating system which are consisted of unmanned vehicle system. Network program by TCP/IP socket, and real-time control & operating controlled by servo-motors from a remote place, those are used to verify safety and stability of the unmanned vehicle system in this research. This unmanned vehicle is divided into two major sections which are an unmanned vehicle part and control station part. The server PC is installed on the unmanned vehicle and a client PC is installed at a remote place, which can control the u manned vehicle. In this research work, main theme is that we experimented and tested to check the speed and utilization of the wireless LAN communication.

  • PDF

A implement of blackbox with in vehicle network data and the external sensor data (차량내부정보와 외부센서를 사용한 블랙박스 구현)

  • Kim, Jang-Ju;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.14 no.11
    • /
    • pp.2471-2477
    • /
    • 2010
  • lately, vehicle blackbox increasing importance and usability Is needed accuracy and variety of information. because, blackbox help to analyze the exact cause of the accident and use as objective evidence in vehicle-related crime. In the paper, to overcome the limitations of the existing black box, use various sensors and vehicle information blackbox store current state of the vehicle with OBD-II protocol using vehicle state information and store exact current location and direction information of the vehicle with Gyro sensor and GPS and use global time of GPS for synchronization of information. In addition, blackbox back the information up with wifi. because, when blackbox damaged, dirvers were able to verify the information.

Accurate Vehicle Positioning on a Numerical Map

  • Laneurit Jean;Chapuis Roland;Chausse Fr d ric
    • International Journal of Control, Automation, and Systems
    • /
    • v.3 no.1
    • /
    • pp.15-31
    • /
    • 2005
  • Nowadays, the road safety is an important research field. One of the principal research topics in this field is the vehicle localization in the road network. This article presents an approach of multi sensor fusion able to locate a vehicle with a decimeter precision. The different informations used in this method come from the following sensors: a low cost GPS, a numeric camera, an odometer and a steer angle sensor. Taking into account a complete model of errors on GPS data (bias on position and nonwhite errors) as well as the data provided by an original approach coupling a vision algorithm with a precise numerical map allow us to get this precision.