Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping

Max Peter Ronecker, Xavier Diaz, Michael Karner, Daniel Watzenig. Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping. In IEEE Intelligent Vehicles Symposium, IV 2024, Jeju Island, Republic of Korea, June 2-5, 2024. pages 2184-2191, IEEE, 2024. [doi]

Abstract

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