Fredrik Gustafsson

Linköping University

Papers

13

Total Citations

337

H-Index

8

About

Fredrik Gustafsson is a leading figure in sensor fusion, signal processing, and autonomous systems, with a career dedicated to bridging theory and real-world automation. His foundational work on collision avoidance decision-making (88 citations) established a framework that has become integral to automotive safety, while his pioneering fusion of inertial and vision sensors for robust real-time tracking (60 citations) has enabled more reliable navigation in dynamic environments. Gustafsson’s contributions extend to advanced target tracking, where his application of Probability Hypothesis Density (PHD) filters to extended targets (45 citations) has advanced multi-object tracking in robotics and surveillance. He has also significantly influenced human-robot collaboration, as evidenced by his recent review on external sensors for human detection (30 citations), reflecting the growing importance of safe cobot interactions. His work on rotational speed sensor preprocessing (38 citations) and trajectory generation using sum-of-norms regularization (22 citations) has further shaped automotive and control systems. With over 300 publications and numerous patents, Gustafsson’s impact is underscored by his leadership at Linköping University, where he has mentored a generation of engineers. His research continues to drive autonomy in vehicles, robots, and wearable systems, making him a pivotal figure in modern signal processing and intelligent systems.

Research Focus

Key Achievements

8
H-Index
13
Papers
337
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
A framework and automotive application of collision avoidance decision making
88 citations · 2008
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Linköping University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago