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
- Lecture/Exercises: "Mobile Robots" (Summer 2020)
- Practical Course: "Mobile Robots" (Winter 2019/20)
- Practical Course: "Mobile Robots" (Summer 2019)
- Practical Course: "Mobile Robots" (Winter 2018/19)
- Practical Course: "Mobile Robots" (Summer 2018)
- Practical Course: "Mobile Robots" (Winter 2017/18)
- Practical Course: "Mobile Robots" (Winter 2016/17)
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] |