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.
Deep Open Space Segmentation using Automotive Radar
23.11.2020
571562 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Open Space Segmentation using Automotive Radar
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