Ihsan Ullah Khalil

National University of Sciences and Technology

Papers

Total Citations

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About

Ihsan Ullah Khalil is an emerging researcher in autonomous vehicle systems, with a focused expertise in intelligent trajectory planning and safe maneuvering for self-driving cars. His most notable contribution is the development of a novel approach to overtaking maneuvering using a modified Rendezvous Guidance (RG) method, published in 2022. This work addresses one of the most challenging tasks for autonomous vehicles—executing safe and intelligent overtaking maneuvers while avoiding obstacles. By experimentally implementing the modified RG algorithm for trajectory planning, Khalil advances the practical application of guidance-based methods in real-world autonomous driving scenarios. Though his work is early in its citation impact, with 2 citations to date, it represents a promising step toward more reliable and human-like decision-making in autonomous navigation. His research sits at the intersection of control theory, robotics, and artificial intelligence, aiming to enhance vehicle safety and efficiency. As a developing scholar, Khalil’s contributions are particularly relevant for students and researchers interested in the next generation of autonomous driving technologies, where robust overtaking strategies remain a critical unsolved problem.