Abstract: With the rapid emergence of autonomous vehicles, there is a need to build such communication systems which help the passengers to communicate with autonomous vehicles (AVs) robustly. In this regard, this research work presents a multimodal passenger communication system. The communica-tion system is known as “buddy" for AVs. Buddy is an all in one control system for AVs which incorporates touch, speech, text, and emotion recognition methods of interaction. Buddy makes it easy for passengers to interact with AVs. It enables the communication between the passengers and the AV which eventually provides a safe driving experience. Moreover, we have proposed and developed our own simulator two evaluate the performance of our proposed passenger communication system. We have also conducted extensive infield-tests to test the effectiveness of the proposed system. The extensive rigor analysis validates the results and hence the significance of the proposed passenger communication system.

M Talha Bin Ahmed Lodhi, Faisal Riaz, Yasir Mehmood, Muhammad Farrukh Farid, Abdul Ghafoor Dar, Muhammad Atif Butt, Samia Abid and Hasan Ali Asghar, “Passenger Communication System for Next-Generation Self-Driving Cars: A Buddy” International Journal of Advanced Computer Science and Applications(IJACSA), 11(8), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110895

@article{Lodhi2020,
title = {Passenger Communication System for Next-Generation Self-Driving Cars: A Buddy},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110895},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110895},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {8},
author = {M Talha Bin Ahmed Lodhi and Faisal Riaz and Yasir Mehmood and Muhammad Farrukh Farid and Abdul Ghafoor Dar and Muhammad Atif Butt and Samia Abid and Hasan Ali Asghar}
}