Papers
1
Total Citations
3
H-Index
1
About
Tarek Bouazza is a researcher specializing in robotics, control systems, and computer vision, with a particular focus on state estimation and sensor fusion for autonomous mobile robots. His most notable contribution is the development of a homography-based Riccati observer for camera pose estimation, introduced in his 2022 paper. This work presents a novel deterministic approach that integrates data from an onboard IMU, velocity sensors, and a monocular camera observing a planar scene, enabling robust relative pose estimation without relying on stochastic filtering methods. While still early in his career, with his key paper accumulating 3 citations, Bouazza’s work addresses a critical challenge in robotics—accurate, real-time pose estimation under constrained sensing conditions. His research bridges theoretical observer design with practical applications in autonomous navigation, offering a computationally efficient alternative to traditional Kalman filtering approaches. Bouazza’s contributions are particularly relevant for researchers working on visual-inertial odometry, SLAM, and drone or ground robot localization, where reliable pose estimation is essential for safe and effective operation.
Research Focus
Key Achievements
Top Papers
- 1Homography-based Riccati observer design for camera pose estimation3 citations · 2022