| Quadrotors and accelerometers: State estimation with an improved dynamic model RC Leishman, JC Macdonald, RW Beard, TW McLain IEEE Control Systems Magazine 34 (1), 28-41, 2014 | 282 | 2014 |
| Differential flatness based control of a rotorcraft for aggressive maneuvers J Ferrin, R Leishman, R Beard, T McLain 2011 IEEE/RSJ international conference on intelligent robots and systems …, 2011 | 96 | 2011 |
| Relative Navigation Approach for Vision-Based Aerial GPS-Denied Navigation RC Leishman, TW McLain, RW Beard Unmanned Aircraft Systems (ICUAS), 2013 International Conference on, 343 - 352, 2013 | 85 | 2013 |
| Analysis of an improved IMU-based observer for multirotor helicopters J Macdonald, R Leishman, R Beard, T McLain Journal of Intelligent & Robotic Systems 74, 1049-1061, 2014 | 56 | 2014 |
| Relative navigation and control of a hexacopter R Leishman, J Macdonald, T McLain, R Beard 2012 IEEE International Conference on Robotics and Automation, 4937-4942, 2012 | 36 | 2012 |
| Multiplicative extended Kalman filter for relative rotorcraft navigation RC Leishman, TW McLain Journal of Aerospace Information Systems 12 (12), 728-744, 2015 | 31 | 2015 |
| Direct linearization method kinematic variation analysis RC Leishman, KW Chase | 26 | 2010 |
| Enabling robust state estimation through measurement error covariance adaptation RM Watson, JN Gross, CN Taylor, RC Leishman IEEE Transactions on Aerospace and Electronic Systems 56 (3), 2026-2040, 2019 | 22 | 2019 |
| Robust incremental state estimation through covariance adaptation RM Watson, JN Gross, CN Taylor, RC Leishman IEEE Robotics and Automation Letters 5 (2), 3737-3744, 2020 | 21 | 2020 |
| Utilizing an improved rotorcraft dynamic model in state estimation R Leishman, J Macdonald, S Quebe, J Ferrin, R Beard, T McLain 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 14 | 2011 |
| Robust Motion Estimation with RGB-D Cameras RC Leishman, D Koch, TW McLain AIAA Infotech@ Aerospace Conference, 2013 | 13 | 2013 |
| Scorpion: A modular sensor fusion approach for complementary navigation sensors K Kauffman, D Marietta, J Raquet, D Carson, RC Leishman, A Canciani, ... 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 156-167, 2020 | 10 | 2020 |
| A vision-based relative navigation approach for autonomous multirotor aircraft R Leishman Brigham Young University, 2013 | 10 | 2013 |
| Aircraft inspection by multirotor uav using coverage path planning P Silberberg, RC Leishman 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 575-581, 2021 | 9 | 2021 |
| Evaluation of sensor-agnostic all-source residual monitoring for navigation A Appleget, RC Leishman, J Gipson Proceedings of the 2021 International Technical Meeting of The Institute of …, 2021 | 9 | 2021 |
| Uncertainty model estimation in an augmented data space for robust state estimation RM Watson, JN Gross, CN Taylor, RC Leishman Proceedings of the 33rd International Technical Meeting of the Satellite …, 2020 | 8 | 2020 |
| Sensitivity of single-pulse radar detection to aircraft pose uncertainties A Costley, R Christensen, RC Leishman, GN Droge IEEE Transactions on Aerospace and Electronic Systems 59 (3), 2286-2295, 2022 | 6 | 2022 |
| Closed-loop linear covariance framework for path planning in static uncertain obstacle fields RS Christensen, G Droge, RC Leishman Journal of Guidance, Control, and Dynamics 45 (4), 669-683, 2022 | 6 | 2022 |
| A new tool for design and analysis of optimized rack and pinion steering mechanisms R Leishman, K Chase SAE Technical Paper, 2009 | 6 | 2009 |
| Optimizing a bank of Kalman filters for navigation integrity using efficient software design LE Sepulveda, RC Leishman, K Kauffman, JS Gipson Proceedings of the 34th International Technical Meeting of the Satellite …, 2021 | 5 | 2021 |
Randal BeardProfessor of Electrical and Computer Engineering, Brigham Young UniversityVerified email at byu.edu
