This project proposes the development and optimization of advanced AI algorithms to enhance the safety and efficiency of autonomous vehicles (AVs). By focusing on real-time decision-making, object detection, and predictive modeling, the project aims to improve the reliability and performance of AVs in various environments.
The outcome will be a set of robust algorithms that can be integrated into existing and future autonomous vehicle platforms, paving the way for safer, more efficient transportation systems.
Problem Statement:
As autonomous vehicles (AVs) become increasingly integrated into modern transportation systems, ensuring their safety and efficiency is paramount. Current challenges include accurately detecting and responding to dynamic environments, predicting potential hazards, and optimizing vehicle operations in real-time.
Existing AI algorithms often struggle with these tasks, leading to safety concerns and inefficiencies. Developing more advanced AI algorithms is crucial to overcoming these challenges and advancing the widespread adoption of AVs.
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