Implementation of Highway Driving Automation with Path Planning Considering Obstacles
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https://doi.org/10.14419/ijet.v7i3.27.19263 -
Speed adaptation, Collision Detection, MEMS, GPS, and Ultrasonic Sensor and zigbee. -
Abstract
Self-sufficient vehicles are continually expanding inferable from an extensive variety of scope of assignments, including mechanized expressway driving and computerized stopping. These frameworks are normally either concentrated for organized conditions and depend exclusively on such structure being available in their environment or particular for unstructured situations and don't consider any structure that may exist. In this paper, we detail a half and half independent framework that perceives and adventures structure in nature distinguish driving paths, yet likewise explores the way. We have proposed a mechanized way arranging and estimation calculation for the independently directed vehicles. The viability of our framework on both checked streets and plain streets under the nearness of dynamic articles, for example, people on foot or different vehicles is displayed with the proposed way organizer and estimator calculation with recreations.
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References
[1] In Jung Lee, "An accident detection system on highway using vehicle tracking trace," ICT Convergence (ICTC), 2011 International Conference , pp.716,721, 28-30 Sept. 2011.
[2] Watthanawisuth,N.;Lomas,T.; Tuantranont, A., "Wireless black box using MEMS accelerometer and GPS tracking for accidental monitoring of vehicles," Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on , pp.847,850, 5-7 Jan. 2012.
[3] Zutao Zhang, Jiashu Zhang, “A Novel Vehicle Safety Model: Vehicle speed Controller under Driver Fatigueâ€, “IJCSNS International Journal of Computer Science and Network Securityâ€, VOL.9 No.1, January 2009.
[4] Yao Jin. The discussion of Road Traffic Safety Countermeasures System. Private Science and Technology, 2010.
[5] Gnanavel, G. "Embedded based complete vehicle protection." International Journal of Scientific & Technology Research 2.4 (2013): 176-178.
[6] Wang Wei and Fan Hanbo, Traffic accident automatic detection and remote alarm device, IEEE proc.ICEICE pp- 910-913, April 2011.
[7] P. Schutte, “The H-metaphor as a guideline for vehicle automation and interaction,†Nat. Aeron. Space Admin., Hampton, VA, NASA/TM-2003-212 672, 2003.
[8] Tisdale, John, Zuwhan Kim, and J. Karl Hedrick. "Autonomous UAV path planning and estimation." IEEE Robotics & Automation Magazine 16.2 (2009).
[9] Dolgov, Dmitri, et al. "Path planning for autonomous vehicles in unknown semi-structured environments." The International Journal of Robotics Research 29.5 (2010): 485-501.
[10] Liu, Yuanchang, and Richard Bucknall. "Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment." Ocean Engineering 97 (2015): 126-144.
[11] Opfer, Stephan, Hendrik Skubch, and Kurt Geihs. "Cooperative path planning for multi-robot systems in dynamic domains." Mobile Robots-Control Architectures, Bio-Interfacing, Navigation, Multi Robot Motion Planning and Operator Training. InTech, 2011.
[12] Tushara, D. Bindu, and PA Harsha Vardhini. "Wireless vehicle alert and collision prevention system design using Atmel microcontroller." Electrical, Electronics, and Optimization Techniques (ICEEOT), International Conference on. IEEE, 2016.
[13] Rusinkiewicz, Szymon, and Marc Levoy. "Efficient variants of the ICP algorithm." 3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on. IEEE, 2001.
[14] Segal, Aleksandr, Dirk Haehnel, and Sebastian Thrun. "Generalized-icp." Robotics: science and systems. Vol. 2. No. 4. 2009.
Galland, Stephane, et al. "Multi-agent simulation of individual mobility behavior in carpooling." Transportation Research Part C: Emerging Technologies 45 (2014): 83-98.
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How to Cite
Parthasaradhy, P., & Manjunathachari, K. (2018). Implementation of Highway Driving Automation with Path Planning Considering Obstacles. International Journal of Engineering & Technology, 7(3.27), 641-646. https://doi.org/10.14419/ijet.v7i3.27.19263Received date: 2018-09-08
Accepted date: 2018-09-08