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Slawomir Grzonka
Researcher at University of Freiburg
Publications - 16
Citations - 1540
Slawomir Grzonka is an academic researcher from University of Freiburg. The author has contributed to research in topics: Simultaneous localization and mapping & Graph (abstract data type). The author has an hindex of 12, co-authored 16 publications receiving 1446 citations. Previous affiliations of Slawomir Grzonka include Institute of Robotics and Intelligent Systems.
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Journal ArticleDOI
A Fully Autonomous Indoor Quadrotor
TL;DR: This paper presents a general navigation system that enables a small-sized quadrotor system to autonomously operate in indoor environments and systematically extend and adapt techniques that have been successfully applied on ground robots.
Proceedings ArticleDOI
Towards a navigation system for autonomous indoor flying
TL;DR: A general system consisting of sensors and algorithms which enables a small sized flying vehicle to operate indoors by adapting techniques which have been successfully applied on ground robots is presented.
Proceedings ArticleDOI
A tree parameterization for efficiently computing maximum likelihood maps using gradient descent
TL;DR: This paper applies a novel parameterization of the nodes in the graph that significantly improves the performance and enables the algorithm to cope with arbitrary network topologies and converge faster than the other approaches and yields accurate maps of the environment.
Proceedings ArticleDOI
Efficient estimation of accurate maximum likelihood maps in 3D
TL;DR: This paper presents an efficient solution to the SLAM problem that is able to distribute a rotational error over a sequence of nodes and applies a variant of gradient descent to solve the error minimization problem.
Proceedings ArticleDOI
Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities
TL;DR: This work extends the data association so that it explicitly handles track occlusions in addition to detections and deletions, and adapt the corresponding probabilities in a situation-dependent fashion so as to reflect the fact that legs frequently occlude each other.