Umesh Pinjarkar,
Hitesh Raktade,
Saurabh Popalghat,
Vishakha Polas,
Aayush Kadam,
- Assistant Professor, Saraswati College of Engineering, Pune, Maharashtra, India
- Student, Saraswati College of Engineering, Pune, Maharashtra, India
- Student, Saraswati College of Engineering, Pune, Maharashtra, India
- Student, Saraswati College of Engineering, Pune, Maharashtra, India
- Student, Saraswati College of Engineering, Pune, Maharashtra, India
Abstract
One major development in autonomous vehicle technology is the emergence of mobile-controlled robotic cars and smart lane-following vehicles. To improve user control and vehicle autonomy, these systems integrate mobile technology, computer vision, and machine learning. This review work highlights the potential of mobile-controlled and smart lane-following robotic automobiles to transform transportation and related sectors by examining their design, functioning, applications, and obstacles. Autonomous driving relies heavily on smart lane-following technology, which allows cars to maintain their lane boundaries without the need for driver interaction. Furthermore, the incorporation of mobile control facilitates remote interaction and direction of these vehicles by users. This assessment covers the future directions, existing applications, and technological underpinnings of robotic cars that can follow a smart lane and be directed by a mobile device.
Keywords: smart lane, mobile technology, computer vision, machine learning, robotic automobiles
[This article belongs to International Journal of Advanced Control and System Engineering(ijacse)]
References
- Shivaraju V, Karthik Kumar V. Robot Controlled Car using Wi-Fi Module. International Journal of Scientific Engineering and Technology Research (IJSETR). 2017 Feb; 06(04): 0759–0762.
- Talele A, Mahajan R, Mahajan T, Kannake H, Khan Z, Late Wi-Fi Controlled Car. Int Res J Eng Technol. 2022;9(12): 1105–1108. [Online]. Available: www.irjet.net
- Rohit Dadoriya. (2016 Dec 18) Final report of line follower robot. [Online]. Available from https://www.slideshare.net/slideshow/final-report-of-line-follower-robot/70242590
- Kuan D, Phipps G, Hsueh AC. Autonomous robotic vehicle road following. IEEE Trans Pattern Anal Mach Intell. 1988 Sep; 10(5): 648–
- Fernandes LC, Souza JR, Pessin G, Shinzato PY, Sales D, Mendes C, Prado M, Klaser R, Magalhães AC, Hata A, Pigatto D. CaRINA intelligent robotic car: architectural design and applications. J Syst Architect. 2014 Apr 1; 60(4): 372–
- Ali MA, Mailah M, Jabbar WA, Moiduddin K, Ameen W, Alkhalefah H. Autonomous Road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion. Sensors. 2020 Jul 1; 20(13):
- Palaniswamy T, Alofi A, Alghamdi FS, Aljuaid NM, Alahmadi R. Automated Mobile Robots–A Survey on Controls. Commun Appl Electron. 2017; 6(9): 22–
- Tzafestas SG. Mobile robot control and navigation: A global overview. J Intell Robot Syst. 2018 Jul; 91(8): 35–
- Martínez-Barberá H, Herrero-Pérez D. Multilayer distributed intelligent control of an autonomous car. Transp Res Part C: Emerg Technol. 2014 Feb 1; 39: 94–
- Hong TH, Rasmussen C, Chang T, Shneier M. Road detection and tracking for autonomous mobile robots. In SPIE Unmanned Ground Vehicle Technology IV. 2002 Jul 17; 4715: 311–319.
- Waykole S, Shiwakoti N, Stasinopoulos P. Review on lane detection and tracking algorithms of advanced driver assistance system. Sustainability. 2021 Oct 15; 13(20):
- Eleftheriou G, Doitsidis L, Zinonos Z, Chatzichristofis SA. A fuzzy rule-based control system for fast line-following robots. In 2020 IEEE 16th International Conference on Distributed Computing in Sensor Systems (DCOSS). 2020 May 25; 388–395.
| Volume | 02 |
| Issue | 01 |
| Received | April 29, 2024 |
| Accepted | June 29, 2024 |
| Published | July 23, 2024 |