Philipp Foehn

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Foehn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daniel Mellinger
  2. Boris Houska
  3. Mark Wilfried Mueller
  4. Vijay R. Kumar
  5. Hans Joachim Ferreau

Who trusts Philipp Foehn overall

  1. Elia Kaufmann
  2. Guillem Torrente

Papers from Philipp Foehn's perspective

Ordered by how strongly the researchers Philipp Foehn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Minimum snap trajectory generation and control for quadrotors
  2. Robust visual inertial odometry using a direct EKF-based approach
  3. Keyframe-based visual–inertial odometry using nonlinear optimization
  4. ACADO toolkit—An open‐source framework for automatic control and dynamic optimization
  5. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
  6. Direct visual-inertial odometry with stereo cameras
  7. A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
  8. Trajectory generation and control for precise aggressive maneuvers with quadrotors (Int. J. Robotics Res.)
  9. Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision
  10. Estimation, Control, and Planning for Aggressive Flight With a Small Quadrotor With a Single Camera and IMU

Their papers