James M. Conrad
Aerospace Engineering · 2012
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 14 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it; #17,244 of 21,575 by trust here, #20,271 by citations
- Control and Systems Engineering — 9 citations into it; #6,426 of 8,257 by trust here, #7,140 by citations
- Computer Networks and Communications — 5 citations into it; #7,533 of 9,886 by trust here, #8,844 by citations
Whom James M. Conrad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts James M. Conrad overall
Papers from James M. Conrad's perspective
Ordered by how strongly the researchers James M. Conrad trusts endorse each paper. Same corpus, a different order for every researcher.
- Design and control of an indoor micro quadrotor (IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004)
- Control of a quadrotor helicopter using visual feedback (Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292))
- Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor (Proceedings of the 2005 IEEE International Conference on Robotics and Automation)
- Real-time stabilization and tracking of a four-rotor mini rotorcraft (IEEE Transactions on Control Systems Technology)
- Attitude stabilization of a VTOL quadrotor aircraft (IEEE Transactions on Control Systems Technology)
- The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC) (Digital Avionics Systems Conference)
- A new partitioned approach to image-based visual servo control (IEEE Trans. Robotics Autom.)
- Visual servoing of an under-actuated dynamic rigid-body system: an image-based approach (IEEE Trans. Robotics Autom.)
- Vision based MAV navigation in unknown and unstructured environments (IEEE International Conference on Robotics and Automation)
- Visually guided landing of an unmanned aerial vehicle (IEEE Trans. Robotics Autom.)
Their papers
- A survey of quadrotor Unmanned Aerial Vehicles (2012) — 352 citations