A Review on Pre-Collision Road Accident Detection
Keywords:Road Accident, Spatial, Temporal, Artificial Intelligence
Road accident rates are very high these days, especially for two-wheelers. Prompt medical assistance can help save lives. This system is designed to alert the nearby medical center of the incident in order to provide immediate medical attention. The proposed framework automatically learns the representation of the characteristics from the space-time characteristics of the pixel intensity. We consider the vehicle accident an unusual accident. The possibility of an accident is determined using the artificial intelligence approach and alerted by preventive measures.
Arif Shaik, Natalie Bowen, Jennifer Bole, Gary Kunzi, Daniel Bruce, Ahmed Abdelgawad, Kumar Yelamarthi, “Smart Car: An IoT Based Accident Detection System”, IEEE Global Conference on Internet of Things (GCIoT), 2018. DOI: https://doi.org/10.1109/GCIoT.2018.8620131
Y. K. Ki and D. Y. Lee, “A traffic accident recording and reporting model at intersections,” IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, pp. 188–194, Jun. 2007. DOI: https://doi.org/10.1109/TITS.2006.890070
Z. Hui, X. Yaohua, M. Lu, and F. Jiansheng, “Vision-based real-time traffic accident detection,” in Proc. 11th World Congr. Intell. Control Autom. (WCICA), Shenyang, China, Jun./Jul. 2014, pp. 1035–1038.
Ö. Aköz and M. E. Karsligil, “Video-based traffic accident analysis at intersections using partial vehicle trajectories,” in Proc. 17th IEEE Int. Conf. Image Process. (ICIP), Sep. 2010, pp. 4693–4696. DOI: https://doi.org/10.1109/ICIP.2010.5653839
S. Sadek, A. Al-hamadiy, B. Michaelisy, and U. Sayed, “Real-time automatic traffic accident recognition using HFG,” in Proc. 20th Int. Conf. Pattern Recognit. (ICPR), Istanbul, Turkey, Aug. 2010, pp. 3348–3351. DOI: https://doi.org/10.1109/ICPR.2010.817
J. Kwon and K. M. Lee, “Wang-Landau Monte Carlo-based tracking methods for abrupt motions,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 4, pp. 1011–1024, Apr. 2013. DOI: https://doi.org/10.1109/TPAMI.2012.161
M. K. Lim, C. S. Chan, D. Monekosso, and P. Remagnino, “Refined particle swarm intelligence method for abrupt motion tracking,” Inf. Sci., vol. 283, pp. 267–287, Nov. 2014. DOI: https://doi.org/10.1016/j.ins.2014.01.003
Y. Su, Q. Zhao, L. Zhao, and D. Gu, “Abrupt motion tracking using a visual saliency embedded particle filter,” Pattern Recognit., vol. 47, no. 5, pp. 1826–1834, 2014. DOI: https://doi.org/10.1016/j.patcog.2013.11.028
Francesco Biral, Roberto Lot, Stefano Rota, Marco Fontana, and VéroniqueHuth, “Intersection Support System for Powered Two Wheeled Vehicles: Threat Assessment Based on Receding Horizon Approach”, IEEE Transactions On Intelligent Transportation Systems, Vol. 13, No. 2, pp 805-816, June, 2012. DOI: https://doi.org/10.1109/TITS.2011.2181835
Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, and Stephane Espie, “Riding patterns recognition for powered two wheelers users’ behaviors analysis”, Intelligent Transportation Systems (ITSC), 2013 16th International IEE Conference, pp 2033- 2038, 2013. DOI: https://doi.org/10.1109/ITSC.2013.6728528
Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Nicolas Cheifetz and StéphaneEspié, “The Powered Two Wheelers fall detection using Multivariate Cumulative SUM (MCUSUM) control charts,” Intelligent Transportation Systems (ITSC), 2014, 17th International IEEE Conference, pp 1280-1285, IEEE, 2014. DOI: https://doi.org/10.1109/ITSC.2014.6957863
AmitMeena, SrikrishnaIyer, Monika Nimje, Saket JogJekar, Sachin Jagtap, Mujeeb Rahman, “Automatic Accident Detection and Reporting Framework for Two Wheelers”, in IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), pp 962-967, 2014. DOI: https://doi.org/10.1109/ICACCCT.2014.7019237
C. K. Harnett, “Open Wireless Sensor Network Telemetry Platform for Mobile Phones” IEEE Sensors Journal, Vol. 10, No. 6, pp. 1082- 1084, June 2010. DOI: https://doi.org/10.1109/JSEN.2010.2040271
Emmanouil N. Barmpounakis, Eleni I. Vlahogianni, and John C. Golias, “Intelligent Transportation Systems and Powered Two Wheelers Traffic” IEEE Transactions On Intelligent Transportation Systems,2015. DOI: https://doi.org/10.1109/TITS.2015.2497406
Prachi R. Rajarapollu, Nutan V. Bansode, Pranoti P. Mane, “A Novel Two Wheeler Security System Based on Embedded System” 978-1- 5090-3480-2/16/ © IEEE.
Fahim Bin Basheer, Jinu J Alias, Mohammed Favas C, Navas V, Naveed K Farhan, Raghu C V, “Design of Accident Detection and Alert System for Motor Cycles, pp 85-89, IEEE,2013. DOI: https://doi.org/10.1109/GHTC-SAS.2013.6629894
Manjunatha D, IshwarMalapur, Ganesh L Bhat, “Safety and Security for Two Wheeler Vehicle Using ARM Controller & CAN protocol” International Research Journal of Engineering and Technology(IRJET) Volume: 03 Issue: 06, pp. 1082-1084, June, 2016.
S. Abtahi, B. Hariri and S. Shirmohammadi, "Driver drowsiness monitoring based on yawning detection," 2011 IEEE International Instrumentation and Measurement Technology Conference, Binjiang, 2011, pp. 1-4. DOI: https://doi.org/10.1109/IMTC.2011.5944101
Mugila.G Muthulakshmi.M Santhiya.K, Prof.Dhivya.P “Smart Helmet System Using Alcohol Detection For Vehicle Protection,” International Journal of Innovative Research in Science Engineering and Technology (IJIRTSE) ISSN: 2395-5619, Volume – 2, Issue _ 7 July 2016.
S. Chandran, S. Chandrasekar and N. E. Elizabeth, "Konnect: An Internet of Things(IoT) based smart helmet for accident detection and notification," 2016 IEEE Annual India Conference (INDICON), Bangalore, 2016, pp. 1-4. DOI: https://doi.org/10.1109/INDICON.2016.7839052
Nagarjuna R Vatti, PrasannaLakshmi Vatti, Rambabu Vatti, Chandrashekhar Garde, “Smart Road Accident Detection and communication System” , International Conference on Current Trends towards Converging Technologies (ICCTCT), IEEE, 2018.
Yuanlong Yu ; Miaoxing Xu ; Jason Gu, “Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machine”, IET Intelligent Transport Systems, Volume: 13 , Issue: 9 , 9 2019, pp. 1417 – 1428. DOI: https://doi.org/10.1049/iet-its.2018.5409
S. J. Banarase, V. N. Jadhav and S. M. Sutar, "Review on: Real Time Lane Departure Awareness System & Maintenance in Reducing Road Accidents," 2018 International Conference on Information , Communication, Engineering and Technology (ICICET), Pune, 2018, pp. 1-3. DOI: https://doi.org/10.1109/ICICET.2018.8533841
Z. Hui, X. Yaohua, M. Lu, and F. Jiansheng, “Vision-based real-time traffic accident detection,” in Proc. 11th World Congr. Intell. Control Autom. (WCICA), Shenyang, China, Jun./Jul. 2014, pp. 1035–1038. DOI: https://doi.org/10.1109/WCICA.2014.7052859
H. Tan, J. Zhang, and J. Feng, “Vehicle speed measurement for accident scene investigation,” in Proc. IEEE 7th Int. Conf. E-Bus. Eng., Shanghai, China, Nov. 2010, pp. 389–392. DOI: https://doi.org/10.1109/ICEBE.2010.74
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