Dynamic HD context for AV perception, routing & operations — day & night.

Artificial Infinity crowdsources mobile Street-View data and transforms it with AI into AV-ready layers: lighting & visibility, signage & lane integrity, construction & obstruction alerts, and change-detection timelines.

Nighttime Lighting Maps Signage / Lane Marking Integrity Construction & Obstruction Alerts HD Context Feeds / APIs

{
  "feeds": ["lighting", "signage", "lane_markings", "change_detection"],
  "resolution": "street-level, crowdsourced",
  "temporal_windows": {"baseline": 7–30 d, "event": ±120 min},
  "integration": "REST / GeoJSON / Tiles / S3"
}

Perception Support & Edge Cases

Feed your AV stack with contextual priors: lighting adequacy, lane/marking status, signage presence, and recent changes that may degrade perception, especially at night or during works.

Nighttime luminance & dark-zone scoring
Lane/arrow/stop-line integrity checks
Signage presence/visibility & obstruction

AV perception context — markings and signage

Routing & Fleet Operations

Optimize AV routes with real-world, high-refresh context: upcoming construction, signage changes, low-visibility segments, and priority corridors for safe night operations.

Context-aware route scoring (lighting / works / signage)
Dynamic HD layers for map matching & planning
APIs for orchestration & dispatch

Change Detection

Detect fresh cones, scaffolding, or lane shifts; publish diffs with timestamps for rapid model adaptation.

Risk Layers

Night visibility, glare, signage gaps, and deteriorated markings condensed into route-ready scores.

Delivery Options

REST/CSV/GeoJSON, static tiles, or signed S3 bundles for ingestion into HD map & autonomy stacks.

Make your AV stack safer at night — with living HD context.

Request a demo to see lighting maps, signage integrity, and construction diffs along your target corridors.

Request a Demo