infrastructure
The Roadside World Model Chose Which Cars Were Worth Hearing
Conductor prioritizes vehicles that see beyond roadside sensors, then trims fusion and prediction work to stay inside an age-of-information bound.
Summary
Conductor prioritizes vehicles that see beyond roadside sensors, then trims fusion and prediction work to stay inside an age-of-information bound.
Instead of making each connected car fuse every other actor's observations, Conductor builds one edge-hosted world model from a fixed roadside perspective. An occlusion-aware selector favors vehicles contributing otherwise hidden objects, while a runtime controller adjusts both input count and trajectory predictions. In simulation with as many as 31 connected vehicles, the joint controller met the timing bound and approached oracle fusion fidelity. That is simulated infrastructure evidence, not a deployed collision-prevention claim.
Why it matters
Conductor prioritizes vehicles that see beyond roadside sensors, then trims fusion and prediction work to stay inside an age-of-information bound.
Limits and context
- That is simulated infrastructure evidence, not a deployed collision-prevention claim.
Key claims
Conductor prioritizes vehicles that see beyond roadside sensors, then trims fusion and prediction work to stay inside an age-of-information bound.
Qualification: That is simulated infrastructure evidence, not a deployed collision-prevention claim.
Evidence: source-2026-09-07-006
Sources
- arXiv preprint 2609.04364arXiv · primary research
Corrections
No corrections have been recorded for this story.