Khaled Alomari

Papers

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About

Khaled Alomari is a researcher whose work is driving innovation in autonomous vehicle systems, with a particular focus on cooperative perception and intelligent control. His primary research areas include cooperative simultaneous localization and mapping (C-SLAM) for connected autonomous vehicles (CAVs) and adaptive cruise control (ACC) systems. Alomari’s major contribution lies in bridging the gap between mobile robotics and autonomous driving by applying C-SLAM to the vehicular domain, a relatively rare but critical application. His most-cited paper, "Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles" (2023, 7 citations), demonstrates how Vehicle-to-Everything (V2X) communication can enable multiple CAVs to collaboratively build and share environmental maps, enhancing safety and efficiency. This work addresses a key challenge in autonomous driving: reliable localization in dynamic, complex environments. Additionally, his research on adaptive cruise control (2022, 3 citations) explores practical design and experimental validation of systems that improve vehicle following behavior. Alomari’s work is foundational for the next generation of cooperative, connected, and automated transportation systems, offering tangible solutions for safer roads.