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A Smart Device for Automatic Detection of Lane-Marking on the Roads Using Image Processing

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Proceedings of the 2nd International Conference on Signal and Data Processing (CSDP 2022)

Abstract

Travelling by roads is the most common and oldest way to reach the destination. The fast speed vehicles are growing each day. Many automobile industries are working on development of fast speed vehicle with various security features. Security features include safety air bags, safety breaks, and many electronic supports. But still due to various reasons vehicle crashes and road accidents happen every day. Road accidents cause loss of infrastructure and monitory. These results a lot of injuries and deaths every year in every city. Government has lot of road safety protocols, rules, and regulations to prevent road accidents. Every year government is spending a lot for road safety. This paper is presenting a smart device with various safety features. The device can be mounted in any four wheeler vehicle and can make an ordinary vehicle to semi-smart vehicle. The device is featured with monitoring of engine, tires, and other peripherals. This paper is focused on lane marking and obstacle detection on the roads. For the lane marking detection improved Hough transform, Canny edge detector has been used. And for the obstacle detection, improved CNN has been used. The algorithms are implemented on hardware and tested on real objects by mounting the device on vehicle. The developed algorithms are efficient, and results are promising.

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References

  1. Pearson D, An E, Dhanak M, von Ellenrieder K, Beaujean P (2014) High-level fuzzy logic guidance system for an unmanned surface vehicle (USV) tasked to perform autonomous launch and recovery (ALR) of an autonomous underwater vehicle (AUV). In: 2014 IEEE/OES autonomous underwater vehicles (AUV), Oxford, MS, pp 1–15

    Google Scholar 

  2. Essaouari Y, Turetta A (2016) Cooperative underwater mission: Offshore seismic data acquisition using multiple autonomous underwater vehicles. In: 2016 IEEE/OES autonomous underwater vehicles (AUV), Tokyo, pp 435–438

    Google Scholar 

  3. Bin Mohamad Soberi MS, Ismail ZH, Bin Zakaria MZ, Sammut K (2016) Autonomous ship hull inspection by omni directional path and view. In: 2016 IEEE/OES autonomous underwater vehicles (AUV), Tokyo, pp. 38–43

    Google Scholar 

  4. Molina CBST, de Almeida JR, Vismari LF, González RIR, Naufal JK, Camargo J (2017) Assuring fully autonomous vehicles safety by design: the autonomous vehicle control (AVC) module strategy. In: 2017 47th annual IEEE/IFIP international conference on dependable systems and networks workshops (DSN-W), Denver, CO, pp 16–21

    Google Scholar 

  5. Xudong T, Yongjie P, Ye L, Zaibai Q (2008) A fuzzy neural networks controller of underwater vehicles based on ant colony algorithm. In: 2008 27th Chinese control conference, Kunming, pp 637–641

    Google Scholar 

  6. Wang J et al (2016) Appearance-based Brake-Lights recognition using deep learning and vehicle detection. In: 2016 IEEE intelligent vehicles symposium (IV), Gothenburg, pp 815–820

    Google Scholar 

  7. Singh M, Kim S (2017) Security analysis of intelligent vehicles: challenges and scope. In: 2017 international SoC design conference (ISOCC), Seoul, pp 13–14

    Google Scholar 

  8. Khan J (2017) Vehicle network security testing. In: 2017 third international conference on sensing, signal processing and security (ICSSS), Chennai, pp 119–123

    Google Scholar 

  9. Ming L, Zhao G, Huang M, Kuang X, Li H, Zhang M (2018) Security analysis of intelligent transportation systems based on simulation data. In: 2018 1st international conference on data intelligence and security (ICDIS), South Padre Island, TX, pp 184–187

    Google Scholar 

  10. Agreira CIF, Teixeira CJC, Pestana R (2019) Impact of the electrical vehicles on security analysis in electrical Portuguese transmission system. In: 2019 IEEE vehicle power and propulsion conference (VPPC), Hanoi, Vietnam, pp 1–5

    Google Scholar 

  11. Anusha A, Ahmed SM (2017) Vehicle tracking and monitoring system to enhance the safety and security driving using IoT. In: 2017 international conference on recent trends in electrical, electronics and computing technologies (ICRTEECT), Warangal, pp 49–53

    Google Scholar 

  12. Deng G, Wu Y (2018) Double lane line edge detection method based on constraint conditions Hough transform. In: 2018 17th international symposium on distributed computing and applications for business engineering and science (DCABES), Wuxi, pp 107–110

    Google Scholar 

  13. Dang L, Tewolde G, Zhang X, Kwon J (2017) Reduced resolution lane detection algorithm. In: 2017 IEEE AFRICON, Cape Town, pp 1459–1464

    Google Scholar 

  14. Manoharan K, Daniel P (2018) A robust approach for lane detection in challenging illumination scenarios. In: 2018 international conference on advances in computing, communication control and networking (ICACCCN), Greater Noida (UP), India, pp 132–135

    Google Scholar 

  15. Bosaghzadeh A, Routeh SS (2017) A novel PCA perspective mapping for robust lane detection in urban streets. In: 2017 artificial intelligence and signal processing conference (AISP), Shiraz, pp 145–150

    Google Scholar 

  16. Jiang L, Li J, Ai W (2019) Lane line detection optimization algorithm based on improved Hough transform and R-least squares with dual removal. In: 2019 IEEE 4th advanced information technology, electronic and automation control conference (IAEAC), Chengdu, China, pp 186–190

    Google Scholar 

  17. Piao C, Lu C (2019) Lane detection of unstructured roads based on WS-P2PNet. In: 2019 international conference on intelligent computing, automation and systems (ICICAS), Chongqing, China, pp 596–599

    Google Scholar 

  18. Yenİaydin Y, Schmidt KW (2018) A lane detection algorithm based on reliable lane markings. In: 2018 26th signal processing and communications applications conference (SIU), Izmir, pp 1–4

    Google Scholar 

  19. Agunbiade OY, Zuva T, Johnson AO, Zuva K (2013) Enhancement performance of road recognition system of autonomous robots in shadow scenario. Signal Image Process Int J 4(6)

    Google Scholar 

  20. Chiuand K-Y, Lin SF (2005) Lane detection using color-based segmentation. In: Proceedings of IEEE intelligent vehicles symposium, pp 706–711

    Google Scholar 

  21. Sun T-Y, Tsai S-J, Chan V (2006) HIS color model based lane-marking detection. In: Intelligent transportation systems conference, ITSC'06. IEEE, pp 1168–1172

    Google Scholar 

  22. Kong H, Audibert JY, Ponce J (2010) General road detection from a single image. IEEE Trans Image Process 19(8):2211–2220

    Article  MathSciNet  MATH  Google Scholar 

  23. Gao D, Li W, Duan J, Zheng B (2009) A practical method of road detection for intelligent vehicle. In: IEEE international conference on automation and logistics, ICAL'09, pp 980–985

    Google Scholar 

  24. Shang E, An X, Li J, Ye L, He H (2013) Robust unstructured road detection: the importance of contextual information. Int J Adv Robot Syst 10:179

    Google Scholar 

  25. Alvarez JMA, Ĺopez AM (2011) Road detection based on illuminant invariance. In: IEEE transactionson on intelligent transportation systems 12(1):184–193

    Google Scholar 

  26. Falola O, Osunmakinde IO, Bagula A (2010) Supporting drivable region detection by minimising salient pixels generated through robot sensors. In: Proceedings of the twenty-first annual conference of the pattern recognition association of South Africa (PRASA), MIAPR, pp 87–92

    Google Scholar 

  27. Stoklasa R, Matula P (2011) Road detection using similarity search. In: Stelrand R, Jafarmadar K (Eds) 2nd international conference on roboticsin education, Vienna, Neuveden, pp 95–102

    Google Scholar 

  28. Graovac S, Goma A (2012) Detection of road borders based on texture classification. Int J Adv Rob Syst 9:1–12

    Google Scholar 

  29. Palomino J, Cuty E, Huanachin A (2021) Development of a CAN Bus datalogger for recording sensor data from an internal combustion ECU. In: 2021 IEEE international workshop of electronics, control, measurement, signals and their application to mechatronics (ECMSM), Liberec, Czech Republic, pp 1–4

    Google Scholar 

  30. Rajput P, Parekh R (2020) On-Board diagnostics based remote emission test for light motor vehicles. In: 2020 IEEE international conference on electronics, computing and communication technologies (CONECCT), Bangalore, India, pp 1–6

    Google Scholar 

  31. https://www.rhydolabz.com/sensors-other-sensors-c-137_148/sound-detection-sensor-module-p-2306.html. Accessed April 4, 2022

  32. https://www.rhydolabz.com/sensors-weather-sensors-c-137_147/dht11-temperature-humidity-sensor-module-p-2044.html. Accessed April 4, 2022

  33. https://www.rhydolabz.com/sensors-accelerometers-c-137_138/triple-axis-accelerometer-modulemma7341-p-1078.html. Accessed April 4, 2022

  34. https://www.rhydolabz.com/sensors-gas-sensors-c-137_140/lpg-gas-sensor-module-v2-p-1104.html. Accessed April 4, 2022

  35. https://www.rhydolabz.com/wireless-gsm-gprs-c-130_185/gsmgprs-ttl-uart-modemsim900-p-1076.html. Accessed April 4, 2022

  36. https://www.microchip.com/wwwproducts/en/ATmega328P. Accessed April 4, 2022

  37. Jadhav SR, Ramlal Shelot N (2021) Analysis of image forgery detection using canny edge detector. In: 2021 international conference on artificial intelligence and machine vision (AIMV), Gandhinagar, India, pp 1–6

    Google Scholar 

  38. Dong J, He J, Wang H (2021) Edge detection of human face. In: 2021 IEEE international conference on computer science, electronic information engineering and intelligent control technology (CEI), Fuzhou, China, pp 596–601

    Google Scholar 

  39. Maya P, Tharini C (2020) Performance analysis of lane detection algorithm using partial Hough transform. In: 2020 21st international Arab conference on information technology (ACIT), Giza, Egypt, pp 1–4

    Google Scholar 

  40. Du B, Hao Z, Wei X (2021) Roundness detection of end face for shaft work piece based on Canny-Zernike sub pixel edge detection and improved Hough transform. In: 2021 IEEE 11th international conference on electronics information and emergency communication (ICEIEC), Beijing, China, pp 1–4

    Google Scholar 

  41. Lisowska A (2020) The Hough-based multibeamlet transform. In: 2020 IEEE international conference on visual communications and image processing (VCIP), Macau, China, pp 201–204

    Google Scholar 

  42. Li Q, Wu M (2020) An improved Hough transform for circle detection using circular inscribed direct triangle. In: 2020 13th international congress on image and signal processing, bio medical engineering and informatics (CISP-BMEI), Chengdu, China, pp 203–207

    Google Scholar 

  43. Suman A, Kumar C (2020) An approach to detect the accident in VANETs using acoustic signal. Appl Acoust 163:107205. ISSN 0003-682X

    Google Scholar 

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Correspondence to Preetam Suman .

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Suman, P., Suman, A., Jaiswal, V. (2023). A Smart Device for Automatic Detection of Lane-Marking on the Roads Using Image Processing. In: Ray, K.P., Dixit, A., Adhikari, D., Mathew, R. (eds) Proceedings of the 2nd International Conference on Signal and Data Processing. CSDP 2022. Lecture Notes in Electrical Engineering, vol 1026. Springer, Singapore. https://doi.org/10.1007/978-981-99-1410-4_44

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  • DOI: https://doi.org/10.1007/978-981-99-1410-4_44

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