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arXiv · 2004.03449

Deep Open Space Segmentation using Automotive Radar

Farzan Erlik Nowruzi·Dhanvin Kolhatkar·Prince Kapoor·Fahed Al Hassanat·Elnaz Jahani Heravi·Robert Laganiere·Julien Rebut·Waqas Malik
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Abstract

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.

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Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Fahed Al Hassanat, Elnaz Jahani Heravi, Robert Laganiere, Julien Rebut, Waqas Malik. 2020-03-18. Deep Open Space Segmentation using Automotive Radar. https://arxiv.org/abs/2004.03449

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