BPDA-GMM system overview (IMAGE)
Caption
Schematic illustration showing how each semantic detection is first filtered by a semantic-geometric gate, then assigned CRP-weighted association probabilities. These weights update semantic Gaussian landmarks in the front-end, while the dominant mixture component is converted into a max-mixture semantic factor for the decoupled back-end.
Credit
Prof. Nak Young Chong from Japan Advanced Institute of Science and Technology, Japan Image Source Link: https://doi.org/10.1109/LRA.2026.3726389
Usage Restrictions
Credit must be given to the creator.
License
CC BY