Search Results for author:
Found 2 papers, 0 papers with code
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
Object detection in radar imagery with neural networks shows great potential for improving autonomous driving.
BoostRad: Enhancing Object Detection by Boosting Radar Reflections
Subsequently, a second DNN is employed to detect objects within the boosted reflection image.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
