9.2SPMar 18, 2020
Deep Open Space Segmentation using Automotive RadarFarzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor et al.
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 called SCORP was collected. Deep models are evaluated with various radar input representations. Our proposed approach achieves low memory usage and real-time processing speeds, and is thus very well suited for embedded deployment.