Papers
2
Total Citations
97
H-Index
2
About
T. Cheviron is a leading researcher in aerial robotics, with key contributions in nonlinear estimation, sensor fusion, and UAV dynamics. His most cited work, "Robust Nonlinear Fusion of Inertial and Visual Data for position, velocity and attitude estimation of UAV" (2007, 80 citations), introduces a coupled observer that integrates accelerometer, gyrometer, and vision sensors to estimate pose and linear velocity for unmanned aerial vehicles. This work is foundational for robust state estimation in GPS-denied environments, leveraging a nonlinear complementary filter framework with adaptive bias compensation. Cheviron also advanced UAV modeling with "Generic nonlinear model of reduced scale UAVs" (2009, 17 citations), which surveys and synthesizes a unified 6-DOF nonlinear model applicable to diverse platforms—including fixed-wing aircraft, quadcopters, ducted fans, and helicopters. This contribution provides a critical tool for control design and simulation across UAV types. His research has significantly impacted autonomous navigation and flight control, enabling safer and more reliable aerial operations. Cheviron’s work remains influential for students and engineers developing vision-aided inertial systems and multi-rotor or VTOL UAVs.
Research Focus
Key Achievements
Top Papers
- 1
- 2Generic nonlinear model of reduced scale UAVs17 citations · 2009