activity
20182026
most citedHow much real data do we actually need: Analyzing object detection performance using synthetic and real data

67 citations · 70 across the 9 of their papers we have counts for

collaborators
Showing eess.SPShow all

2 papers · 1 filter

eess.SP2025

mRadNet: A Compact Radar Object Detector with MetaFormer

Huaiyu Chen, Fahed Hassanat, Robert Laganiere +1

Frequency-modulated continuous wave radars have gained increasing popularity in the automotive industry. Their robustness against adverse weather conditions makes it a suitable cho…

eess.SP2020

Deep Open Space Segmentation using Automotive Radar

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +5

In this work, we propose the use of radar with advanced deep segmentation models to identify open space in parking scenarios. A publically available dataset of radar observations c…