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Roland Siegwart
Researcher at Institute of Robotics and Intelligent Systems
Publications - 1227
Citations - 63093
Roland Siegwart is an academic researcher from Institute of Robotics and Intelligent Systems. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 105, co-authored 1154 publications receiving 51473 citations. Previous affiliations of Roland Siegwart include École Polytechnique & University of Patras.
Papers
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Proceedings ArticleDOI
BRISK: Binary Robust invariant scalable keypoints
TL;DR: A comprehensive evaluation on benchmark datasets reveals BRISK's adaptive, high quality performance as in state-of-the-art algorithms, albeit at a dramatically lower computational cost (an order of magnitude faster than SURF in cases).
Book
Introduction to Autonomous Mobile Robots
TL;DR: Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners.
Journal ArticleDOI
Keyframe-based visual-inertial odometry using nonlinear optimization
TL;DR: This work forms a rigorously probabilistic cost function that combines reprojection errors of landmarks and inertial terms and compares the performance to an implementation of a state-of-the-art stochastic cloning sliding-window filter.
Journal ArticleDOI
The EuRoC micro aerial vehicle datasets
Michael Burri,Janosch Nikolic,Pascal Gohl,Thomas Schneider,Joern Rehder,Sammy Omari,Markus W. Achtelik,Roland Siegwart +7 more
TL;DR: Eleven datasets are provided, ranging from slow flights under good visual conditions to dynamic flights with motion blur and poor illumination, enabling researchers to thoroughly test and evaluate their algorithms.
Proceedings ArticleDOI
PID vs LQ control techniques applied to an indoor micro quadrotor
TL;DR: The results of two model-based control techniques applied to an autonomous four-rotor micro helicopter called quadrotor are presented, a classical approach (PID) assumed a simplified dynamics and a modern technique based on a more complete model.