Technical brief TRIKS · Trimodal Kinematic‑Spatial learning

A radar model
that learns without labels.

Partners pretrain on their own unlabelled radar corpora and fine-tune only the last mile.

BackboneConfigurable, from ~43M to >300M parameters
Task headsDetection, positioning, classification, Doppler, and tracking
RuntimeEdge AI-friendly variants
InputsPost‑CFAR tensors · point clouds · ADC via adapter
01 · Recipe

Self-supervised multi-representation learning.

Proprietary. 4 US patents pending.

02 · Variants
VariantAssumptionStatus
Cross-modal (RV) Paired radar & camera on the same platform Validated
Radar-only (R) Radar alone; temporal self-supervision; camera‑less platforms Piloting

The radar-only variant enables maritime, counter-UAS and Arctic surveillance where cameras may not be available or appropriate.

03 · Benchmark

Performance characterisation on public datasets for reproducibility and comparison.

Available under NDA.

04 · Provenance

Earlier incarnations were published at ICC 2022, CVPR 2023, and CVPR 2024. Four US patents pending.

Start a pilot info@radareye.ai