Part of Signal processing for environment-aware radar (SPEAR)
This SPEAR research strand focuses on multimodal sensing for automotive radar. It explores how radar’s robustness and LiDAR’s spatial detail can be combined in occupancy-grid mapping for driving environments.
The work led from an initial radar–LiDAR fusion study to a spatial sparsity-aware approach for automotive driving.
Research question
How can radar and LiDAR complement one another when estimating occupied space in automotive driving scenes?
Contribution
Develops sparsity-aware sensor-fusion methods that combine radar and LiDAR information for more informative occupancy-grid maps.