Lukas Maximilian Schmid
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
- Aerospace Engineering — 6 citations into it
Whom Lukas Maximilian Schmid trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Yamauchi
- Sertac Karaman
- Charles Richter
- Chuong V. Nguyen
- Fadri Furrer
- L. Keselman
- Michael Burri
- Michael Bloesch
- Roland Yves Siegwart
- Weichao Qiu
Who trusts Lukas Maximilian Schmid overall
Papers from Lukas Maximilian Schmid's perspective
Ordered by how strongly the researchers Lukas Maximilian Schmid trusts endorse each paper. Same corpus, a different order for every researcher.
- A frontier-based approach for autonomous exploration
- RotorS—A Modular Gazebo MAV Simulator Framework
- Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking (2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission)
- Sampling-based algorithms for optimal motion planning
- Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments (International Symposium of Robotics Research)
- Intel RealSense Stereoscopic Depth Cameras (Computer Vision and Pattern Recognition)
- Receding Horizon "Next-Best-View" Planner for 3D Exploration
- Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback (Int. J. Robotics Res.)
- UnrealCV: Virtual Worlds for Computer Vision
- Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning (IEEE/RJS International Conference on Intelligent RObots and Systems)