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Embedded System Based on Obstacle Detector Sensor to Prevent Road Accident by Lane Detection and Controlling
- Source :
- International Journal of Intelligent Transportation Systems Research. 18:331-342
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- This paper represents an economical accident prevention embedded system based on obstacle detection IR (infra-red) sensor, which will detect the lane indicator lines on the road. Receiving signals from these sensors, a microcontroller performs various functions like monitoring, motivation and control to prevent accidents due to overtaking and wrong lane driving. An RF (radio frequency) transmitter and receiver is applied to communicate with adjacent vehicles in a relevant range, which will help a driver to take decision in case of emergency overtake. A new model is also proposed by removing the use of external RF transmitter control, located at public zone (school, hospital) and when the vehicle receiver enter into the transmitter coverage area, controls the speed of vehicle. In lieu of this model our proposed model ensures that, the vehicle can recognize itself in a public zone and control its speed automatically by detecting two horizontal lines at a specific distance on the road effectively.
- Subjects :
- Radio transmitter design
Computer science
Aerospace Engineering
010501 environmental sciences
01 natural sciences
Range (aeronautics)
Overtaking
0502 economics and business
0105 earth and related environmental sciences
050210 logistics & transportation
business.industry
General Neuroscience
Applied Mathematics
05 social sciences
Transmitter
Detector
Computer Science Applications
Microcontroller
Control and Systems Engineering
Embedded system
Obstacle
Automotive Engineering
Radio frequency
business
Software
Information Systems
Subjects
Details
- ISSN :
- 18688659 and 13488503
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- International Journal of Intelligent Transportation Systems Research
- Accession number :
- edsair.doi...........558e3fd2c07e71efc95bc3e5ffe09a5e
- Full Text :
- https://doi.org/10.1007/s13177-019-00202-4