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Drive Assist

Drive Assist. A Smart Driving Assistance System to Elevate the Driving Experience of Drivers in Sri Lanka. Group : 18-018 Supervisor : Mr. Nuwan Kodagoda. Speed Analysis. M.R. Aaquiff Ahnaff IT15048738. IT15048738. Problem and Solution. Problem:

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Drive Assist

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  1. Drive Assist A Smart Driving Assistance System to Elevate the Driving Experience of Drivers in Sri Lanka Group : 18-018 Supervisor : Mr. Nuwan Kodagoda

  2. Speed Analysis M.R. AaquiffAhnaff IT15048738

  3. IT15048738 Problem and Solution Problem: • Not adhering to appropriate speeds lead to traffic accidents. • No indication of appropriate speeds while driving. Solution: • Present average speeds around certain roads to the driver. • Classify and score the user on how well they adhere to it.

  4. IT15048738 Knowledge Gap and Comparison • Driving Coach[1] - Evaluate efficient driving patterns(Android). • Driver behavior profiling[2]– Compares sensors in smartphones and learning algorithm. • DriveScribe[3] – Provides feedback to adhere to speed limit. • Based on speed limits rather than appropriate speeds. • No social comparison between users to reward good behavior. • No commercial product available. [1] R. Araújo, Â. Igreja, R. de Castro and R. Araújo, "Driving Coach: a Smartphone Application to Evaluate Driving Efficient Patterns", Intelligent Vehicles Symposium, 2018. [2] J. Ferreira, E. Carvalho, B. Ferreira, C. de Souza, Y. Suhara, A. Pentland and G. Pessin, "Driver behavior profiling: An investigation with different smartphone sensors and machine learning", PLOS ONE, vol. 12, no. 4, p. e0174959, 2017. [3] R. Scott, "Review: Drivescribe, The App That Will Improve Your Driving (Video) – TechGuySmartBuyTechGuySmartBuy", TechGuySmartBuy, 2018. [Online]. Available: http://techguysmartbuy.com/2014/04/review-drivescribe-the-app-thatwill-improve-your-driving-video.html. [Accessed: 12- Feb- 2018].

  5. How it works

  6. IT15048738 Research Area and Technologies

  7. IT15015754 Commercialization User Benefits • Maintain safe speeds and avoid nervousness on new roads • Reduce time of journey • Encourage drivers to maintain safe speeds, thus make the roads safer.

  8. IT15048738 Work Breakdown Structure (WBS)

  9. Pedestrian Crossing Detection M. M. M. Munsif IT15015754

  10. IT15015754 Problem and Solution Problem: • One of the most ignored road regulation in Sri Lanka • Caused substantial amounts of tragedies Solution: • Forewarn the driver of an oncoming crossing to take required safety measures

  11. IT15015754 Knowledge Gap and Comparison Existing Evidence • Bipolarity Feature [1] – BW • ZebraRecognizer [2] – White Cane Cam • Self-Similarity [3] – Autonomous Cars Knowledge Gap (mostly): • Dedicated Hardware • Pedestrian’s Point-of-View • No Commercial Products • No Geospatial Data [1] M. S. Uddin and T. Shioyama, “Detection of Pedestrian Crossing Using Bipolarity Feature—An Image-Based Technique,” IEEE Trans. Intell. Transp. Syst., vol. 6, no. 4, pp. 439–445, Dec. 2005. [2] D. Ahmetovic, C. Bernareggi, A. Gerino, and S. Mascetti, “ZebraRecognizer: Efficient and Precise Localization of Pedestrian Crossings,” in 2014 22nd International Conference on Pattern Recognition, 2014, pp. 2566–2571. [3] C. Wang, C. Zhao, and H. Wang, “Self-Similarity based Zebra-crossing Detection for Intelligent Vehicle,” Open Autom. Control Syst. J., vol. 7, pp. 974–986, 2015.

  12. IT15015754 Research Area and Key Pillars • Comes under different domains • Image Processing • Cloud Computing • Software Engineering (Mobile Development)

  13. IT15015754 Technologies

  14. IT15015754 Commercialization User Benefits • Pedestrian decides to step in suddenly • Driver is already alerted • Driver can act smart and safely maneuver

  15. IT15015754 Work Breakdown Structure (WBS)

  16. IT15015754 Self-Evaluation Plan

  17. Road Signboard Detection M. Saranki IT15101266

  18. IT15101266 Problem and Solution Problem: • Identifying and following the road signboards • Visibility constraints Solution: • Alert the drivers of oncoming road signboards on appropriate time

  19. IT15101266 Knowledge Gap and Comparison Knowledge Gap (mostly): • Dedicated for sole purpose • Halted at statistics • Less Commercial Products • Constraint with time Existing Evidence • Traffic Sign Recognition [1]  • TSR based on SVM [2] • aCoDriver [3] [1] R. Laguna, R. Barrientos, L. Felipe Blázquez, and L. J. Miguel, “Traffic sign recognition application based on image processing techniques.,pp.104-109, Aug.2014.” [2] S. Maldonado-Bascón, S. Lafuente-Arroyo, P. Gil-Jiménez, H. Gómez-Moreno, and F. López-Ferreras, “Road-Sign Detection and Recognition Based on Support Vector Machines,” IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, 2007. [3]aCo Driver 5. EvoTegra GmbH, 2013.

  20. IT15101266 Research Area and Key Pillars • Comes under different domains • Image Processing • Cloud Computing • Software Engineering (Mobile Development)

  21. IT15101266 Technologies

  22. IT15101266 Commercialization User Benefits • Applicable for any scenario • No need of special devices to receive alerts

  23. IT15101266 Work Breakdown Structure (WBS)

  24. IT15101266 Self-Evaluation Plan

  25. Lane Detection B. Kiruthiga IT15135308

  26. IT15135308 Problem and Solution Problem: • Discriminating a road lane for its external factors Solution: • Alert the driver on lane departure

  27. IT15135308 Knowledge Gap and Comparison Knowledge Gap (mostly): • No fair accuracy • Lack of communication • Less commercial products Existing Evidence • iOnRoad [1] • aCoDriver 5 [2] • Adjacent Lane Detection [3] [1] iOnRoad Augmented Driving Lite. iOnRoad, 2011. [2] aCo Driver 5. EvoTegra GmbH, 2013. [3] C. F. Wu, C. J. Lin, H. Y. Lin and H. Chung, “Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches”, Journal of Applied Research and Technology, vol. 11, Apr., pp. 251-258, 2013.

  28. IT15135308 Research Area and Key Pillars • Core domain • Image Processing • Software Engineering (Mobile Development) • Android Native Development

  29. IT15135308 Technologies

  30. IT15135308 Commercialization User Benefits • Easy to identify the path • Helps to avoid collisions

  31. IT15135308 Work Breakdown Structure (WBS)

  32. IT15135308 Self-Evaluation Plan

  33. High-Level System Architecture Diagram

  34. Work Breakdown Structure (WBS)

  35. Business Plan • Drive Assist • Regular Commuters • Revenue Model • Break-even Point

  36. Conclusion

  37. Hope to Assist you soon

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