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An IoT-Based Approach for Visibility Enhancement and Fog Detection

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Proceedings of International Conference on Recent Innovations in Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1001))

Abstract

Nowadays, many camera-based advanced driver assistance systems have been created in recent years to assist drivers and assure their safety in a variety of driving situations. When driving in foggy circumstances, one of the issues drivers confront is decreased scene visibility and lower contrast. Aside from the visibility issues, the driver needs also to make a speed decision when driving. The major facts of fog are loss of contrast and color fading. Rain and snow are exceedingly disruptive to drivers, and glare from the sun or other road users can be quite dangerous, even if only for a short time. This paper aims to provide a novel approach that will let the users know about foggy weather conditions. The proposed system uses smart fog sensors by employing the Internet of Things (IoT). IoT is an emerging field that can be used for the intelligent transport system that can be used in vehicles due to zero visibility in fog. This paper highlights the approaches and systems that have been discovered and deemed important for estimating or even improving visibility in bad weather. This paper elaborates that the proposed technique can approximate and remove the corresponding fog functions for better visibility and safety.

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References

  1. U.S. Department of Transportation (2015) Traffic safety facts—critical reasons for crashes investigated in the national motor vehicle crash causation survey. National Highway Traffic Safety Administration (NHTSA), Washington, DC, USA

    Google Scholar 

  2. OSRAM Automotive. Available online https://www.osram.com/am/specials/trends-in-automotive-lighting/index.jsp. Accessed on 30 June 2020

  3. The Car Connection, 12 Oct 2018. Available online https://www.thecarconnection.com/news/1119327_u-s-to-allowbrighter-self-dimming-headlights-on-new-cars. Accessed on 30 June 2020

  4. Aubert D, Boucher V, Bremond R, Charbonnier P, Cord A, Dumont E, Foucher P, Fournela F, Greffier F, Gruyer D et al (2014) Digital imaging for assessing and improving highway visibility. Transport Research Arena, Paris, France

    Google Scholar 

  5. Rajagopalan AN, Chellappa R (eds) (2014) Motion deblurring algorithms and systems. Cambridge University Press, Cambridge, UK

    Google Scholar 

  6. Palvanov A, Giyenko A, Cho YI (2018) Development of visibility expectation system based on machine learning. In: Computer information systems and industrial management. Springer, Berlin/Heidelberg, Germany, pp 140–153

    Google Scholar 

  7. Yang L, Muresan R, Al-Dweik A, Hadjileontiadis LJ (2018) Image-based visibility estimation algorithm for intelligent transportation systems. IEEE Access 6:76728–76740

    Google Scholar 

  8. Ioan S, Razvan-Catalin M, Florin A (2016) System for visibility distance estimation in fog conditions based on light sources and visual acuity. In: Proceedings of the 2016 IEEE international conference on automation, quality, and testing, robotics (AQTR), Cluj-Napoca, Romania, 19–21 May 2016

    Google Scholar 

  9. Levinson J, Askeland J, Becker J, Dolson J, Held D, Kammel S, Kolter JZ, Langer D, Pink O, Pratt V et al (2011) Towards fully autonomous driving: systems and algorithms. In: Proceedings of the 2011 IEEE intelligent vehicles symposium (IV), Baden-Baden, Germany, 5–9 June 2011, pp 163–168

    Google Scholar 

  10. Jegham I, Khalifa AB (2017) Pedestrian detection in poor weather conditions using moving camera. In: Proceedings of the IEEE/ACS 14th international conference on computer systems and applications (AICCSA), Hammamet, Tunisia, 30 Oct–3 Nov 2017

    Google Scholar 

  11. Dai X, Yuan X, Zhang J, Zhang L (2016) Improving the performance of vehicle detection system in bad weathers. In: Proceedings of the 2016 IEEE advanced information management, communicates, electronic and automation control conference (IMCEC), Xi’an, China, 3–5 Oct 2016

    Google Scholar 

  12. Miclea R-C, Silea I, Sandru F (2017) Digital sunshade using head-up display. In: Advances in intelligent systems and computing, vol 633. Springer, Cham, Switzerland, pp 3–11

    Google Scholar 

  13. Garg M, Chadha A, Mehta K, Garg R (2019) Brain gate technology—an analysis. Int J Adv Sci Technol 28(19):890–93. http://sersc.org/journals/index.php/IJAST/article/view/2676

  14. Saraf PD, Chavan NA (2013) Pre-crash sensing and warning on curves: a review. Int J Latest Trends Eng Technol (IJLTET) 2(1)

    Google Scholar 

  15. Ismail M et al (2014) Intersection cross-traffic warning system for vehicle collision avoidance. Int J Adv Res Electr Electron Instrum Eng 3:13155–13160. https://doi.org/10.15662/ijareeie.2014.0311031

  16. Wu Z, Liu Y, Pan G (2009) A smart car control model for brake comfort based on car following. IEEE Trans Intell Transp Syst 10:42–46

    Article  Google Scholar 

  17. Lo WL, Chung HSH, Fu H (2021) Experimental evaluation of PSO based transfer learning method for meteorological visibility estimation. Atmosphere 12(7):828

    Google Scholar 

  18. Mehta K, Kumar Y (2020) Implementation of efficient clock synchronization using elastic timer technique in IoT. Adv Math Sci J 9(6):4025–4030

    Google Scholar 

  19. Sajjad F, Ali A, Ahmad SR (2021) Development of anti-fog agent for the reduction of potential occupational visual hazards at workplaces. Pak J Sci 73(1):144

    Google Scholar 

  20. Sharma M, Singh H (2021) Substrate integrated waveguide-based leaky-wave antenna for high-frequency applications and IoT. Int J Sens Wirel Commun Control 11(1):5–13

    Google Scholar 

  21. Arora T, Dhir R (2020) Geometric feature-based classification of segmented human chromosomes. Int J Image Graph 20(01):2050006

    Google Scholar 

  22. Tarel J-P, Hautiere N (2009) Fast visibility restoration from a single color or gray level image. In: Proceedings of the 2009 IEEE 12th international conference on computer vision, Kyoto, Japan, 27 Sept–4 Oct 2009, pp 2201–2208

    Google Scholar 

  23. Narasimhan SG, Nayar SK (2003) Contrast restoration of weather degraded images. IEEE Trans Pattern Anal Mach Intell 25:713–724

    Google Scholar 

  24. Negru M, Nedevschi S (2013) Image-based fog detection and visibility estimation for driving assistance systems. In: Proceedings of 2013 IEEE 9th international conference on intelligent computer communication and processing (ICCP), Cluj-Napoca, Romania, 5–7 Sept 2013, pp 163–168

    Google Scholar 

  25. Rai V et al (2022) Cloud computing in healthcare industries: opportunities and challenges. In: Singh PK, Singh Y, Chhabra JK, Illés Z, Verma C (eds) recent innovations in computing. Lecture notes in electrical engineering, vol 855. Springer, Singapore. https://doi.org/10.1007/978-981-16-8892-8_53

  26. Mehta K, Kumar Y, Aayushi A (2022) Enhancing time synchronization for home automation systems. ECS Trans 107(1):6197

    Article  Google Scholar 

  27. Mehta K et al (2022) Enhancement of smart agriculture using Internet of Things. ECS Trans 107(1):7047

    Google Scholar 

  28. Bansal A, Mehta K, Arora S (2012) Face recognition using PCA and LDA algorithm. In: 2012 second international conference on advanced computing and communication technologies. IEEE

    Google Scholar 

  29. Das D, Roy K, Basak S, Chaudhury SS (2015) Visibility enhancement in a foggy road along with road boundary detection. In: Proceedings of the blockchain technology and innovations in business processes, New Delhi, India, 8 Oct 2015, pp 125–135

    Google Scholar 

  30. Yuan H, Liu C, Guo Z, Sun Z (2017) A region-wised medium transmission based image Dehazing method. IEEE Access 5:1735–1742

    Article  Google Scholar 

  31. Mohindru V, Vashishth S, Bathija D (2022) Internet of Things (IoT) for healthcare systems: a comprehensive survey. In: Singh PK, Singh Y, Kolekar MH, Kar AK, Gonçalves PJS (eds) Recent innovations in computing. Lecture notes in electrical engineering, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-16-8248-3_18

  32. Mohindru V, Garg A (2021) Security attacks in Internet of Things: a review. In: Singh PK, Singh Y, Kolekar MH, Kar AK, Chhabra JK, Sen A (eds) Recent innovations in computing (ICRIC 2020). Lecture notes in electrical engineering, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-15-8297-4_54

  33. Rai V et al (2022) Cloud computing in healthcare industries: opportunities and challenges. Recent Innovations in computing: Proceedings of ICRIC 2021 2:695–707

    Google Scholar 

  34. Mehta, K et al (2022) Machine learning based intelligent system for safeguarding specially abled people. In: 2022 7th International conference on communication and electronics systems (ICCES). IEEE

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India

    Kapil Mehta, Meenakshi Sharma & Monika Dhiman

  2. Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh, Punjab, India

    Vandana Mohindru Sood

Authors
  1. Kapil Mehta
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  2. Vandana Mohindru Sood
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  3. Meenakshi Sharma
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  4. Monika Dhiman
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Corresponding author

Correspondence to Kapil Mehta .

Editor information

Editors and Affiliations

  1. Computer Science and IT Department, Central University of Jammu, Jammu, Jammu and Kashmir, India

    Yashwant Singh

  2. Department of Computer Science, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India

    Pradeep Kumar Singh

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  4. School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  5. IDMEC, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Paulo J. Sequeira Gonçalves

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Mehta, K., Sood, V.M., Sharma, M., Dhiman, M. (2023). An IoT-Based Approach for Visibility Enhancement and Fog Detection. In: Singh, Y., Singh, P.K., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-19-9876-8_20

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