معرفی
Lennart Svensson is a Professor at Chalmers University of Technology in the Signal Processing research group. His work focuses on nonlinear filtering, multi-object tracking, Bayesian statistics, and deep machine learning with applications in autonomous systems and sensor fusion.
Research Interests
- Nonlinear Filtering and Bayesian Inference
- Multi-Object Tracking and Sensor Fusion
- Deep Learning for Autonomous Systems
- Performance Metrics (GOSPA, T-GOSPA)
- Lidar-Camera Fusion and Radiance Fields
- 5G SLAM and mmWave Sensing
Publications Trends
Recent work emphasizes uncertainty-aware multi-object tracking metrics, trajectory estimation using Poisson Multi-Bernoulli Mixtures, and sensor fusion techniques for autonomous driving. His research integrates Bayesian methods with deep learning for applications in automotive radar, lidar, and 5G positioning systems.
Contact
- Email: lennart.svensson@chalmers.se
۰مقاله منتشرشده
