# Karl Granstrom

> Autonomous Vehicle Perception

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/karlgranstrom

Research interests: Bayesian estimation, multiple object tracking and machine learning. I enjoy both theoretical algorithm development, as well as applied practical work using real world sensor data.

Previous research projects: main focus on multiple target tracking, especially for extended objects, using random set methods. The developed algorithms have successfully been applied to data from laser scanners, cameras, and radars. A loop detection method for the Simultaneous Localization and Mapping (slam) problem was developed for robots equipped with laser scanners.

## Work Experience
### Staff Software Engineer @ Zoox
Jan 2023 – Present

### Autonomous Vehicle Perception @ Embark Trucks
Jan 2020 – Jan 2023 | San Francisco Bay Area

### Researcher @ Chalmers University of Technology
Jan 2019 – Jan 2020 | Gothenburg, Sweden
Research, supervision of PhD students and Master's thesis students, teaching of undergraduate and postgraduate courses.

### Postdoctoral Research Fellow @ Chalmers University of Technology
Jan 2015 – Jan 2019
Research, supervision of PhD students and Master's thesis students, teaching of undergraduate and postgraduate courses.

### Postdoctoral Research Fellow @ University of Connecticut
Jan 2014 – Jan 2015
Research

### Postdoctoral Research Fellow @ Linköping University
Jan 2012 – Jan 2014 | Division of Automatic Control, Department of Electrical Engineering
Research, Master Thesis supervision, undergraduate teaching.

### PhD-student @ Linköping University
Jan 2008 – Jan 2012 | Division of Automatic Control, Department of Electrical Engineering

### Teaching Assistant @ Linköping University
Jan 2006 – Jan 2007 | Division of Automatic Control, Department of Electrical Engineering


## Education
### Doctor of Philosophy (Ph.D.) in Automatic Control
Linköping University

### Master's Degree in Applied Physics and Electrical Engineering
Linköping University

### Economics in Finance, Philosophy
University of Otago


## Contact & Social
- LinkedIn: https://linkedin.com/in/karl-granstrom-78a7662

---
Source: https://flows.cv/karlgranstrom
JSON Resume: https://flows.cv/karlgranstrom/resume.json
Last updated: 2026-04-12