New public narrative
LiDAR performance is a system problem — not a parts problem.
Modern autonomy needs robust 3D perception under sunlight, weather, and multi‑sensor traffic. Our focus is whole‑system architecture: optics, timing, signaling, and validation designed together.
What we build
A new LiDAR system architecture
- Designed for high‑fidelity signaling and precise timing
- Built for robustness via redundancy (multiple looks)
- Integrates perception objectives into the sensing stack
Why now
Industry hits intrinsic ceilings
- ToF ambiguity and timing budgets constrain acquisition
- Coexistence/interference become systemic in traffic
- Raw data rates stress compute and validation pipelines
How we prove it
Measurable KPIs, not claims
- Range / precision / stability under sunlight & weather
- Latency and revisit behavior within decision windows
- Repeatable benches + field datasets
A simple KPI glossary
Frame rate
How often the world updates
Higher update rate reduces stale perception and improves control responsiveness.
Point density
How much detail you see
Enough points on small objects matters more than peak “points/sec” marketing.
Robustness
Stability under stress
Redundancy, revisits, and consistency checks within one decision window improve reliability.