Kognitive Systeme

Dr. Cornelia Schulz

Background

2017 - 2020
Research assistant at the Department of Cognitive Systems, University of Tübingen
2014 - 2017
Master of Science in Computer Science at the University of Tübingen
2011 - 2014
Bachelor of Science in Computer Science at the University of Tübingen

Research Interests

  • Mobile Robots
  • Mapping, Localization, SLAM
  • Multi-Robot Systems

Projects

  • NDT-Mapping - Combining NDT and occupancy probabilities for robust 2D and 3D mapping.
  • MuSe-SMC - An abstract framework for Sequential Monte Carlo methods for state estimation and tracking.

Posters

  • Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication
    Cornelia Schulz, Richard Hanten, Matthias Reisenauer, Andreas Zell
    Poster Session I, IRC, Naples, Italy, February 2019
  • Multi-Sensor Integration for Sequential Monte Carlo Methods
    Richard Hanten, Cornelia Schulz, Andreas Zell
    Late Breaking Results, IROS, Madrid, Spain, October 2018

Competitions

  • SICK robot day 2018 with Team Attempto

Teaching

Supervised Theses

2020 Research project Semantic NDT Mapping using Fused Laser and Camera Data
2019 Master thesis Monte Carlo Localization based on OpenStreetMaps
2019 Master thesis Multi-Modal SLAM for Outdoor Robots
2018 Bachelor thesis Spurerkennung und -verfolgung auf markierten und unmarkierten Straßen
2018 Bachelor thesis Tracking mobiler Roboter mittels 2D-Laserscannern und RGB-D-Kamera

Theses

Fast 3D Outdoor SLAM for Robots at High Speeds
Master's thesis, University of Tübingen, August 2017

Panoramic Image Rectangling Using Content-Aware Warping
Bachelor's thesis, University of Tübingen, August 2014

Publications

[1] Cornelia Schulz and Andreas Zell. "Real-Time Graph-Based SLAM with Occupancy Normal Distributions Transforms". In 2020 IEEE International Conference on Robotics and Automation (ICRA), pages 3106–3111, Paris, France, 2020. [DOI]
[2] Cornelia Schulz, Richard Hanten, Matthias Reisenauer, and Andreas Zell. "Collaborative Mapping with Pose Uncertainties using different Radio Frequencies and Communication Modules". In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 8209–8214, Macau, China, November 2019. [DOI]
[3] Richard Hanten, Cornelia Schulz, Adrian Zwiener, and Andreas Zell. "MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods". In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7798–7804, Macau, China, November 2019. [DOI]
[4] Adrian Zwiener, Richard Hanten, Cornelia Schulz, and Andreas Zell. "ARMCL: ARM Contact point Localization via Monte Carlo Localization". In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7105–7111, Macau, China, November 2019. [DOI]
[5] Cornelia Schulz and Andreas Zell. "Sub-Pixel Resolution Techniques for Ray Casting in Low-Resolution Occupancy Grid Maps". In European Conference on Mobile Robots (ECMR), pages 1–6, Prague, Czech Republic, September 2019. [DOI]
[6] Cornelia Schulz, Richard Hanten, Matthias Reisenauer, and Andreas Zell. "Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication". In 2019 Third IEEE International Conference on Robotic Computing (IRC), pages 413–414, Naples, Italy, February 2019. [DOI]
[7] Cornelia Schulz, Richard Hanten, and Andreas Zell. "Efficient Map Representations for Multi-Dimensional Normal Distributions Transforms". In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2679–2686, Madrid, Spain, October 2018. [DOI]

ResearchGate profile