Markus Achtelik
Aerospace Engineering · 2011–2016
A researcher in the Science corpus: 8 papers; trusts 146 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 77 citations into it; #556 of 6,421 by trust here, #583 by citations
- Computer Vision and Pattern Recognition — 77 citations into it; #6,894 of 21,575 by trust here, #5,116 by citations
- Control and Systems Engineering — 23 citations into it
- Ocean Engineering — 13 citations into it; #915 of 3,193 by trust here, #584 by citations
- Geology — 11 citations into it; #528 of 687 by trust here, #267 by citations
- Computer Networks and Communications — 9 citations into it
- Robotics & Control — 7 citations into it; #287 of 609 by trust here, #472 by citations
- Artificial Intelligence — 6 citations into it; #16,004 of 35,345 by trust here, #17,412 by citations
Whom Markus Achtelik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephan Weiss
- Morgan Quigley
- Andrew J. Davison
- Georg S. W. Klein
- Heiko Hirschmüller
- David Nistér
- Adam Bry
- Robert E. Mahony
- Daniel Mellinger
- Huaiyu Zhu
Who trusts Markus Achtelik overall
- Fadri Furrer
- Michael Burri
- Roland Yves Siegwart
- Tong Qin
- Davide Scaramuzza
- Jemin Hwangbo
- Davide Falanga
- Guoquan Huang
- Stefan Leutenegger
- Stephan Weiss
Papers from Markus Achtelik's perspective
Ordered by how strongly the researchers Markus Achtelik trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Distinctive Image Features from Scale-Invariant Keypoints
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Scalable Recognition with a Vocabulary Tree
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- The EuRoC micro aerial vehicle datasets (2016) — 2,066 citations
- Onboard IMU and monocular vision based control for MAVs in unknown in- and outdoor environments (2011) — 344 citations
- RotorS—A Modular Gazebo MAV Simulator Framework (2016) — 517 citations
- Real-time onboard visual-inertial state estimation and self-calibration of MAVs in unknown environments (2012) — 435 citations
- Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments (2014) — 317 citations
- Robust state estimation for Micro Aerial Vehicles based on system dynamics (2015) — 25 citations
- Advanced closed loop visual navigation for micro aerial vehicles (2014)
- A robust and modular multi-sensor fusion approach applied to MAV navigation (2013) — 565 citations