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cs.CV2024
UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
Yuval Haitman, Amit Efraim, Joseph M. Francos
In this paper, we adopt the Universal Manifold Embedding (UME) framework for the estimation of rigid transformations and extend it, so that it can accommodate scenarios involving p…
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…