Image Processing & M.L Based Driverless Car with Image Detection System
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Raspberry Pi
Lane detection
Traffic light detection.
Abstract
Every year, 1.25 million people are projected to die in traffic accidents around the world. Humans' failure to pay attention to road signs and follow the rules is a major cause of accidents. A signboard detection system has been installed to avoid this problem. This technology could be beneficial in recognizing certain domains like classrooms, traffic signals, colleges, hospitals, offices, and so on, as well as potentially saving many lives. This study describes the building of a low-cost prototype of a small self-driving automobile model utilizing simple and easily available technologies. In this prototype, the Raspberry Pi controller and H-bridge drive two DC motors to enable vehicle automation. Sonar sensors, image processing, computer vision, and machine learning have all been used in intelligent systems. We propose using a pattern matching methodology to create a self-driving vehicle to overcome the challenge.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Janhvi Ingle | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
| 2 | Kajal singh | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
| 3 | Juhi Patre | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
| 4 | Shreeya Bajirao | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
| 5 | Sakshi Polkamwar | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
| 6 | Himanshu Taiwade | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
| 7 | Ketan Bodhe | Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Ingle, Janhvi, singh, Kajal, Patre, Juhi, Bajirao, Shreeya, Polkamwar, Sakshi, Taiwade, Himanshu, & Bodhe, Ketan (2021). Image Processing & M.L Based Driverless Car with Image Detection System. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1980-1985.
MLA Style
Ingle, Janhvi, et al. "Image Processing & M.L Based Driverless Car with Image Detection System." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1980-1985.
IEEE Style
Janhvi Ingle, Kajal singh, Juhi Patre, Shreeya Bajirao, Sakshi Polkamwar, Himanshu Taiwade, and Ketan Bodhe, "Image Processing & M.L Based Driverless Car with Image Detection System," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1980-1985, 2021.
Vancouver Style
Ingle Janhvi, singh Kajal, Patre Juhi, Bajirao Shreeya, Polkamwar Sakshi, Taiwade Himanshu, et al. Image Processing & M.L Based Driverless Car with Image Detection System. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1980-1985.
Harvard Style
Ingle, Janhvi, singh, Kajal, Patre, Juhi, Bajirao, Shreeya, Polkamwar, Sakshi, Taiwade, Himanshu, & Bodhe, Ketan (2021) 'Image Processing & M.L Based Driverless Car with Image Detection System', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1980-1985.
Chicago Style
Ingle, Janhvi, et al. "Image Processing & M.L Based Driverless Car with Image Detection System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1980-1985.
Turabian Style
Ingle, Janhvi, et al. "Image Processing & M.L Based Driverless Car with Image Detection System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1980-1985.
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