Papers
13
Total Citations
160
H-Index
7
About
Hadi Aliakbarpour is a leading researcher in multi-sensor fusion, 3D reconstruction, and robotic perception, with a career spanning over two decades. His work is pivotal in integrating heterogeneous sensors—such as 3D laser range finders, stereo cameras, inertial measurement units, and neuromorphic vision sensors—to enhance autonomous navigation and surveillance systems. Aliakbarpour’s major contributions include developing efficient algorithms for extrinsic calibration between laser range finders and cameras (44 citations), which is foundational for mobile robot navigation, and pioneering a probabilistic fusion framework for 3D reconstruction using heterogeneous sensor networks (27 citations). His research also explores visual servoing with non-central catadioptric cameras and, more recently, the emerging field of neuromorphic dynamic vision sensors (DVS), as highlighted in his 2024 survey. Notably, his work on satellite pose estimation using event cameras (EvSat3D, 2025) demonstrates cutting-edge applications in space robotics. With over 150 total citations, Aliakbarpour’s interdisciplinary approach—bridging computer vision, robotics, and sensor fusion—has significantly advanced autonomous systems, making his research essential for students and engineers in robotics and intelligent perception.
Research Focus
Key Achievements
Top Papers
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- 3Visual servoing of mobile robots using non-central catadioptric cameras22 citations · 2014
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- 6Multiclass brain computer interface based on visual attention.7 citations · 2009
- 7Grasping movements recognition in 3D space using a Bayesian approach7 citations · 2009
- 8Vision Based Simulation and Experiment for Performance Tests of Robot7 citations · 2004
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- 10Inertial-visual fusion for camera network calibration6 citations · 2011