A Study on the Use of Fuzzy Logic in Autonomous Vehicle Navigation and Obstacle Avoidance

R. Pradeep Kumar Reddy

Abstract: This study explores the integration of fuzzy logic in autonomous vehicle navigation and obstacle avoidance systems, emphasizing its role in enhancing decision-making under uncertain conditions. Autonomous vehicles operate in dynamic environments where sensor inputs often involve ambiguity and imprecision. Traditional control algorithms struggle to manage this uncertainty effectively, but fuzzy logic provides a robust alternative by mimicking human reasoning. The research delves into the design and implementation of fuzzy logic controllers that process imprecise sensory data to make real-time decisions regarding path planning and obstacle avoidance. Comparative analysis with conventional methods highlights the improved adaptability, smoother navigation, and enhanced safety offered by fuzzy logic in complex environments.

Keywords: fuzzy logic navigation, autonomous vehicles, obstacle avoidance, uncertain environments, decision making

How to Cite?: R. Pradeep Kumar Reddy, "A Study on the Use of Fuzzy Logic in Autonomous Vehicle Navigation and Obstacle Avoidance", Volume 14 Issue 12, December 2025, International Journal of Science and Research (IJSR), Pages: 428-432, https://www.ijsr.net/getabstract.php?paperid=SR251204215706, DOI: https://dx.doi.org/10.21275/SR251204215706