A new evidence hierarchy plus OSINT integration enables Bayesian classification that reaches up to 95% accuracy in simulations while improving robustness to clutter and prior mismatch.
Deep learning for 3d point clouds: A survey
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An Evidence Hierarchy for Bayesian Object Classification via OSINT-Aided Heterogeneous Sensor Fusion
A new evidence hierarchy plus OSINT integration enables Bayesian classification that reaches up to 95% accuracy in simulations while improving robustness to clutter and prior mismatch.
- L-PCN: A Point Cloud Accelerator Exploiting Spatial Locality through Octree-based Islandization