Abdul Basit

Asian Institute of Technology, University of Balochistan

Papers

Total Citations

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About

Abdul Basit is a researcher specializing in autonomous robotics, computer vision, and target tracking, with a focus on enabling unmanned aerial and ground vehicles to pursue and surveil targets using monocular cameras. His major contributions center on developing algorithms for joint localization and tracking, allowing robots to estimate their own position while simultaneously following a moving target—a critical capability for surveillance and search-and-rescue applications. In his most cited work, "Joint Localization of Pursuit Quadcopters and Target Using Monocular Cues" (10 citations), he advanced vision-based pursuit for quadcopters. His earlier paper, "Model driven state estimation for target pursuit" (4 citations), derived and evaluated a novel tracking algorithm for a ground-based robot equipped with a single camera, demonstrating robust performance in realistic simulations. Additionally, his work on "Fast Target Redetection for CAMSHIFT" (3 citations) addressed the common problem of tracking failure due to occlusion or target loss, proposing an efficient method for mobile robots to reacquire humans in cluttered environments. Basit’s research bridges theory and practical deployment, offering scalable solutions for autonomous surveillance systems.