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Low-cost small-scale autonomous vehicle

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A low-cost small-scale autonomous vehicle refers to a self-driving vehicle that is designed to be affordable and suitable for smaller applications or specific purposes. In this study, the firefly algorithm was utilized to address obstacle avoidance challenges in the presence of dynamic or statically positioned uncertain obstacles. The autonomous vehicle successfully reached the intended destination, demonstrating a satisfactory level of accuracy. Regardless of the starting point, the vehicle arrived at the predetermined position within an area measuring 5 meters in diameter. The achievement of such results can be attributed to the cost-effective selection of sensors, utilization of a simple algorithm, and the implementation of a moderately powered processor and circuit components.
Twórcy
  • Dept. of Mechanical Engineering, Faculty of Engineering, Aydin Adnan Menderes University, Efeler, Aydin, Turkey
  • Institute of Materials Science, TUM School of Engineering and Design, Technical University of Munich (TUM), Garching, Munich, 85748, Germany/ Dept. of Mechanical Eng, Faculty of Eng, Aydin Adnan Menderes University, Aydin, Turkey
  • Schneider Electric Inc., Mechanical Design Engineer, Izmir, Turkey
Bibliografia
  • [1] Q. Zhang, T. Zhang, and L. Ma, “Human Acceptance Of Autonomous Vehicles: Research Status And Prospects,” International Journal of Industrial Ergonomics, vol. 95, 2023, 1–15. doi: 10.1016/j.ergon.2023.103458.
  • [2] G. Nativel-Fontaine, V. Lespinet-Najib, R. Cazes, C. Dupetit, C. De Gasquet, M. Chevrie, F. Aïoun,and L. Ojeda, “Exploration Of The Acceptability Of Different Behaviors Of An Autonomous Vehicle In So-Called Conflict Situations,” Accident Analysis & Prevention, vol. 186, 2023, pp. 1–11. doi: 10.1016/j.aap.2023.107041.
  • [3] A.R. Pimenta, M. Kamruzzaman, and G. Currie, “Long‐Term Effects Of Autonomous Vehicles On The Built Environment: A Systematic Scoping Review Towards Conceptual Frameworks,” Transport Reviews, 2023, pp. 1–35. doi: 10.1080/01441647.2023.2189325.
  • [4] A.O. Prasad, P. Mishra, U. Jain, A. Pandey, A. Sinha, A.S. Yadav, R. Kumar, A. Sharma, G. Kumar, K.H. Salem, A. Sharma, and A.K. Dixit, “Design And Development Of Software Stack Of An Autonomous Vehicle Using Robot Operating System,” Robotics and Autonomous Systems,vol. 161, 2023, pp. 1–12. doi: 10.1016/j.robot.2022.104340.
  • [5] Y. Joo, S. Kim, B. Kim, G.H. Cho, and J. Kim, “Autonomous Vehicles And Street Design: Exploring The Role Of Medians In Enhancing Pedestrian Street Crossing Safety Using A Virtual Reality Experiment,” Accident Analysis & Prevention, vol. 188, 2023, pp. 1–12. doi: 10.1016/j.aap.2023.107092.
  • [6] Y. Wang and Z. Lin, “Research On Path Planning For Autonomous Vehicle Based On Frenet System”, Journal of Engineering Research, 2023, pp. 1–6. doi: 10.1016/j.jer.2023.100080.
  • [7] H.A. Ignatious, H. Sayed, and M. Khan, “An Overview Of Sensors In Autonomous Vehicles,” Procedia Computer Science, vol. 198, 2022, pp. 736–741, doi: 10.1016/j.procs.2021.12.315.
  • [8] Z. Wang, X. Zhao, and Z. Xu, “Offline Mapping For Autonomous Vehicles With Low‐Cost Sensors,” Computers & Electrical Engineering, vol. 82, 2020, pp. 1–11. doi: 10.1016/j.compeleceng.2020.106552.
  • [9] Y. Bai, B. Zhang, N. Xu, J. Zhou, J. Shi, and Z. Diao, “Vision-Based Navigation And Guidance For Agricultural Autonomous Vehicles And Robots: A Review,” Computers and Electronics in Agriculture, vol. 205, 2023, pp. 1–20. doi: 10.1016/j.compag.2022.107584.
  • [10] L. Wang, Y. Zhang, and J. Wang, “Map‐Based Localization Method for Autonomous Vehicles Using 3D-LIDAR”, IFAC-PapersOnLine, vol. 50, no. 1, 2017, pp. 276–281. doi: 10.1016/j.ifacol.2017.08.046.
  • [11] S. Kitajima, H. Chouchane, J. Antona‐Makoshi, N. Uchida, and J. Tajima, “A Nationwide Impact Assessment of Automated Driving Systems on Traffic Safety Using Multiagent Traffic Simulations”, IEEE Open Journal of Intelligent Transportation Systems, vol. 3, 2022, pp. 302–312. doi: 10.1109/Ojits.2022.3165769.
  • [12] H. T. Zheng, C. Y. Chen, S. Li, F. Zheng, S. E. Li, Q. Xu, and J. Q. Wang, “Learning‐Based Safe Control for Robot and Autonomous Vehicle Using Efficient Safety Certificate,” IEEE Open Journal of Intelligent Transportation Systems, vol. 4, 2023, pp. 419–430. doi: 10.1109/Ojits.2023.3280573.
  • [13] M.Y. Goren, “Designing and Manufacturing Small Scale Autonomous Vehicle,” Unpublished M.Sc. Thesis, 2023‐M.Sc.‐043, Aydin Adnan Menderes University, Turkey, 2023.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3b00043e-d219-440e-8ccb-292fd27360ff
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