6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2024
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
Oded Bialer, Yuval Haitman
Object detection in radar imagery with neural networks shows great potential for improving autonomous driving. However, obtaining annotated datasets from real radar images, crucial…
cs.CV2024★ 6 cited
BoostRad: Enhancing Object Detection by Boosting Radar Reflections
Yuval Haitman, Oded Bialer
Automotive radars have an important role in autonomous driving systems. The main challenge in automotive radar detection is the radar's wide point spread function (PSF) in the angu…