Integrated Vehicle Accident Detection and Location System

Amin, Md. Syedul; Reaz, Mamun Bin Ibne; Nasir, Salwa Sheikh

doi:10.12928/telkomnika.v12i1.1787

Cited by 12 publications

(5 citation statements)

References 9 publications

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“…With advanced in MEMS, combination of 3-axis gyroscopes and a 3-axis accelerometer in one chip able to provide a full 6 degree-of-freedom (DOF) motion tracking system for many applications [36]. With 3-axis digital compass additional of 3-DOF can assist on a heading for a  ISSN: 1693-6930 TELKOMNIKA Vol.…”

Section: Methodsmentioning

confidence: 99%

Sensor Fusion Algorithm by Complementary Filter for Attitude Estimation of Quadrotor with Low-Cost IMU

2018

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This paper proposes a sensor fusion algorithm by complementary filter technique for attitude estimation of quadrotor UAV using low-cost MEMS IMU. Angular rate from gyroscope tend to drift over a time while accelerometer data is commonly effected with environmental noise. Therefore, high frequency gyroscope signal and low frequency accelerometer signal is fused using complementary filter algorithm. The complementary filter scaling factor K1=0.98 and K2=0.02 are used to merge both gyro and accelerometer. The results show that the smooth roll, pitch and yaw attitude angle can be obtained from the low cost IMU by using proposed sensor fusion algorithm.

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Section: Methodsmentioning

confidence: 99%

Sensor Fusion Algorithm by Complementary Filter for Attitude Estimation of Quadrotor with Low-Cost IMU

2018

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“…The Java VM is version 1.7.0-02-b13. We make an experiment to process a taxi GPS data file of 128.7MB(.plt), filtering out the data that the velocity values are greater than 80km/h and less than or equal to 0km/h, then matching the data to a real map [29]. The experimental results show that the MapReduce model takes 1.8 minutes, while MapReduce+Fork/Join model (4 threads which is the number of cores in each node) takes 1.1 minutes.…”

Section: The Experimentsmentioning

confidence: 99%

An Optimized Model for MapReduce Based on Hadoop

et al. 2016

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“…Thus an intelligent alarm system was implemented. Traffic incidents are difficult to analyze as it exceeds the limits of engineering, human behaviour, and geography [3], statistics indicate that the main cause of death due to injury is road traffic incidents [4] approximately 1.5 million people die every year as a result of road accidents [5,6], 20 to 50 million people suffer from non-fatal injuries with many suffer from physical disabilities as a result of their injuries [7,8].…”

Section: Introductionmentioning

confidence: 99%

Intelligent alarm system for hospitals using smartphone technology

Bashar

Ismail

2020

TELKOMNIKA

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During the last decade, attention was paid to detect the accident and call the ambulance as soon as possible, the situation was neglected after the arrival of the patient to the specified service point. This negligence led to an increase in the mortality rate, especially where the highest percentage of deaths occurred during the first hour after the accident. This highest Mortality can be avoided by providing proper health care after the arrival of the patient to the hospital, the proposed system reduces the rescue time after the arrival of a patient to the hospital, and it requires each hospital to be endowed with a reception model responsible for detecting and reporting accident situations to the emergency service. It was be found that there is an urgent need for a web-based hospital management system with a mobile web service to respond immediately to incidents in the event of an accident. This system utilizes the android phone application to connect to the server for transferring the specified data to the hospital and it can be used for comprehensive accident analysis and management. In this paper, a combination of Android phone application, database, and visual studio 2012 was used to develop the system.

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Integrated Vehicle Accident Detection and Location System

Abstract: Abstract

Cited by 12 publications

References 9 publications

Sensor Fusion Algorithm by Complementary Filter for Attitude Estimation of Quadrotor with Low-Cost IMU

Sensor Fusion Algorithm by Complementary Filter for Attitude Estimation of Quadrotor with Low-Cost IMU

An Optimized Model for MapReduce Based on Hadoop

Intelligent alarm system for hospitals using smartphone technology

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