Cross-dataset tests show BEV segmentation models generalize poorly across datasets and sensor setups, but multi-dataset training improves performance over single-dataset baselines.
Using occupancy grids for mobile robot perception and navigation
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The paper reviews digital twin applications in defense modeling and simulation, proposes a standardized characterization framework and taxonomy aligned with industrial standards, and identifies integration challenges based on a defense stakeholder questionnaire.
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BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
Cross-dataset tests show BEV segmentation models generalize poorly across datasets and sensor setups, but multi-dataset training improves performance over single-dataset baselines.
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On Digital Twins in Defence: Overview and Applications
The paper reviews digital twin applications in defense modeling and simulation, proposes a standardized characterization framework and taxonomy aligned with industrial standards, and identifies integration challenges based on a defense stakeholder questionnaire.