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Barbara Frank, Cyrill Stachniss, Nichola Abdo, Wolfram Burgard University of Freiburg, Germany Using Gaussian Process Regression for Efficient Motion Planning in Environments…

Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs Andres Milioto Philipp Lottes Cyrill Stachniss Abstract—…

Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching Jan Quenzel Radu Alexandru Rosu Thomas Läbe Cyrill Stachniss…

Modern C++ for Computer Vision and Image Processing Igor Bogoslavskyi and Cyrill Stachniss Outline Course introduction Linux introduction C++ syntax Hello World! 2 What you…

1 Wolfram Burgard, Cyrill Stachniss, Maren Bennewitz, Giorgio Grisetti, Kai Arras Path Planning and Collision Avoidance Introduction to Mobile Robotics 2 Motion Planning…

Barbara Frank, Cyrill Stachniss, Giorgio Grisetti, Kai Arras, Wolfram Burgard Robotics 2 Camera Calibration What is Camera Calibration?   A camera projects 3D world…

Slide 1 4-1 Probabilistic Robotics: Motion and Sensing Slide credits: Wolfram Burgard, Dieter Fox, Cyrill Stachniss, Giorgio Grisetti, Maren Bennewitz, Christian Plagemann,…

Slide 1 7-1 Probabilistic Robotics: Kalman Filters Slide credits: Wolfram Burgard, Dieter Fox, Cyrill Stachniss, Giorgio Grisetti, Maren Bennewitz, Christian Plagemann, Dirk…

1 Wolfram Burgard Cyrill Stachniss Maren Bennewitz Kai Arras Probabilistic Motion Models Introduction to Mobile Robotics 2 Robot Motion §  Robot motion is inherently…

Wolfram Burgard, Cyrill Stachniss, Kai Arras, Maren Bennewitz Robot Software Architectures Advanced Techniques for Mobile Robotics How to Program a Robot §  Robots…

Slide 1 1-1 Statistical Techniques in Robotics Slide credits: Wolfram Burgard, Dieter Fox, Cyrill Stachniss, Giorgio Grisetti, Maren Bennewitz, Christian Plagemann, Dirk…

RAWSEEDS Deliverable D5.1: Preliminary Benchmark Solutions Wolfram Burgard Michael Ruhnke Giorgio Grisetti Cyrill Stachniss 1 Introduction This deliverable reports about…

1 Summary Introduction to Mobile Robotics Wolfram Burgard Cyrill Stachniss Maren Bennewitz Diego Tipaldi Luciano Spinello 2 Probabilistic Robotics 3 Probabilistic Robotics…

Probabilistic Robotics * A map is needed for localizing a robot A good pose estimate is needed to build a map Thus, SLAM is regarded as a hard problem in robotics A variety

Probabilistic Robotics State hypothesis Importance weight Function Approximation The more particles fall into an interval, the higher the probability of that interval How

Giorgio Grisetti, Cyrill Stachniss, Kai Arras, Wolfram Burgard Robotics 2 AdaBoost for People and Place Detection v.1.0, Kai Arras, Oct 09, including material by Luciano…

Robotics 2 Data Association Giorgio Grisetti Cyrill Stachniss Kai Arras Wolfram Burgard Data Association   Problem types   Track creation maintenance and deletion…

Wolfram Burgard Cyrill Stachniss Kai Arras Maren Bennewitz Gaussian Processes in Robotics Advanced Techniques for Mobile Robotics Overview §  Regression problem § …

1 Photogrammetry Robotics Lab Course Introduction Cyrill Stachniss 2 Autonomous Mobile Systems 3 Two Fundamental Questions in Mobile Robotics What is the state of the world…

Giorgio Grisetti, Cyrill Stachniss, Kai Arras, Maren Bennewitz, Wolfram Burgard Robotics 2 LaTeX Motivation � Introduction to the most relevant tools commonly used in scientific…