Voice Controlled Autonomous Vehicle: Execution on a Small Scale

This paper addresses the challenge of improving user interaction with autonomous vehicles by integrating voice command recognition with real-time visual feedback. The study employs Google's speech recognition Application Programming Interface to transcribe spoken commands and the turtle graphics library to simulate the corresponding vehicle actions. The system is designed to accurately recognize and process voice commands, translating them into visual simulations that mirror the intended vehicle movements. The research method involved testing the system with various commands to assess its performance and effectiveness. The findings suggest that this integrated approach has significant potential for enhancing the usability and accessibility of autonomous vehicle systems.