Comparative Studies | Mechatronic Engineering | India | Volume 9 Issue 1, January 2020
Comparative Study of Artificial Intelligence Algorithms for Autonomous Vehicle
Autonomous vehicle play a key role in transportation the main objective is the vehicle should adapt and deviate from the obstacles. In this paper different control systems are studied thereby implementing various computational tools like adaptive neuro fuzzy inference system (ANFIS), fuzzy logic control and neural network control using MATLAB. An Intelligence based control approach is presented so that the vehicles can be automated more effectively based on the control logic algorithms. It presents a novel based study of control algorithm by implementing the above MATLAB tools and their results of each control algorithm fuzzy logic, neural network and adaptive neuro-fuzzy inference system (ANFIS) were studied and compared to understand the best system.
Keywords: Fuzzy logic, neural network, ANFIS, Automated vehicle, MATLAB, control system
Edition: Volume 9 Issue 1, January 2020
Pages: 1579 - 1584
How to Cite this Article?
Arjun.P, "Comparative Study of Artificial Intelligence Algorithms for Autonomous Vehicle", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20204360, Volume 9 Issue 1, January 2020, 1579 - 1584