40 citations · 40 across the 10 of their papers we have counts for
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cs.RO2024
Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping
Max Peter Ronecker, Xavier Diaz, Michael Karner +1
This paper introduces a novel hybrid architecture that enhances radar-based Dynamic Occupancy Grid Mapping (DOGM) for autonomous vehicles, integrating deep learning for state-class…
cs.RO2024
Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach
Max Peter Ronecker, Markus Schratter, Lukas Kuschnig +1
Dynamic Occupancy Grid Mapping is a technique used to generate a local map of the environment containing both static and dynamic information. Typically, these maps are primarily ge…