Design and Implementation Intelligent Adaptive Front-lighting System of Automobile using Digital Technology on Arduino Board

Gouri, Rachid El; Alareqi, Mohammed; Mateur, K.; Mezouari, A.; Zemmouri, Abdelkarim; Hlou, Laamari

doi:10.11591/ijece.v8i1.pp521-529

Cited by 7 publications

(14 citation statements)

References 8 publications

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“…The control algorithm is programmed in the Arduino system. The authors [7] claim that the proposed system is more efficient than a system with a CAN network and a mechanical drive. The advantages are speed and lower power consumption.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Development of CAN network with improved parameters for adaptive car front lighting system

Soroka

Kharchenko

Pliuhin

2020

EEJET

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An analysis of implementation principles and algorithms of the adaptive car front-lighting system (AFS) and control methods is carried out. The AFS was adopted by the UNECE in 2007 as the rules for arranging front-lighting systems of vehicles when driving in the dark. Among the known algorithms of AFS operation, a preliminary inspection algorithm is chosen, based on the features of the driver's observation of the road in front of the vehicle, taking into account the characteristics of his vision. The requirements of the algorithm for the control system are analyzed. Control methods using Arduino controllers and computer network are considered. Given the capabilities of network technologies, the CAN network (Controller Area Network) is chosen to ensure the quality of control. It is recommended to use the CAN network option with a length of 40 or 100 m and a speed of 1,000, 500 kbit/s, respectively. Network performance parameters are calculated: speed, error probabilities, performance dependence on load, size of commands and duration of transmission, and compliance with AFS requirements. It is proposed to improve the network arbitration algorithm by increasing the probability of transmission of low-priority commands at high load. The AFS developed on the basis of the CAN network allows creating comfortable conditions for the driver in the dark, preventing accidents, and ensuring traffic safety. An analysis of the AFS operation shows that it is directly related to the operation of most of the main components of the car, namely: engine, steering, gearbox, brakes, accelerometer, etc. It is operated under the driver's control. Therefore, this system can have extended functions, serve as the basis for the safety system and vehicle control system as a whole

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…The AFS is implemented by a number of measures, the main of which is headlamp control. In [7], the use of a system of Arduino controllers and special headlamps with separate sections of 4 or more lamps was proposed to control the AFS. It does not have an electromechanical drive and computer.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of CAN network with improved parameters for adaptive car front lighting system

Soroka

Kharchenko

Pliuhin

2020

EEJET

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“…Through this way, it could avoid "blind spot" caused by the fixed lighting area when coming into the corner, and improve driving safety [12]. In [13] there was a suggestion for new architecture of the AFS. This architecture is powerful and intelligent using the PWM technique on ARDUINO Board replaces the old mechanical system based on stepper motors.…”

Section: Original Articlementioning

confidence: 99%

Adaptive Lighting System Modelling and Analysis

Abu-Ein¹,

Tjprc²

2019

IJMPERD

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Modelling and analysis for the adaptive lighting system for automobiles will be presented in this work, the system helps drivers to reveal unseen or hidden objects on streets during night driving, all factors affect the efficiency and performance of adaptive lighting system streets will be studied. It is found that the angle of rotation of the front lights on adaptive lighting systems depends on many parameters like: the speed of the car and the yaw rate. Also it is found that as the velocity increases the angle variation increases and as the yaw rate of the tires increases during turning the angle increases.

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“…It was implemented using a voltage converter, converting 5V to 4V from a bandspeed adapter connected to an outlet. The GSM arduino code is activated by the Java code of the server for SMS alert measages to be transmitted [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Gsm Alarm Systemmentioning

confidence: 99%

Development of a remote tending system for analog broadcast transmitters

Mappatao

Bautista

Orsos

et al. 2019

IJEECS

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<span>Whenever a broadcast transmitter is on-air, it is required to be tended by licensed broadcast technicians. Technicians periodically monitor the transmitter performance, record the supply voltage and current at the last stage of the power amplifier and keeps a copy for at least two years. Also recorded are the times the transmitter is turned ON and OFF as well as the times the transmitter shuts down and returns back to air. This paper proposes a system to remotely tend analog transmitters in one central monitoring station. The remote tending of several transmitters in one location is made possible through internet connection. However, the challenge in the proposed system is in the gathering of transmitter data. A prototype of the system was constructed and tested in an FM broadcast transmitter. Test results on the prototype performance show that the proposed system can effectively be used to remotely monitor, record data and control the status of analog broadcast transmitters. The primary feature of the proposed system of monitoring several transmitters in one location will bring cost effective advantages to the broadcast operators. </span>

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Design and Implementation Intelligent Adaptive Front-lighting System of Automobile using Digital Technology on Arduino Board

Cited by 7 publications

References 8 publications

Development of CAN network with improved parameters for adaptive car front lighting system

Development of CAN network with improved parameters for adaptive car front lighting system

Adaptive Lighting System Modelling and Analysis

Development of a remote tending system for analog broadcast transmitters

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