Engineering
Perception
Engineer perception stacks that degrade gracefully - not catastrophically.
How we approach Perception
Perception combines sensor physics, algorithm choices, and compute budgets. We help teams select sensor suites and fusion strategies appropriate to environment diversity and safety needs.
Calibration and time synchronization across sensors are treated as first-class release artifacts.
We define ODD boundaries and confidence reporting so planners can make safe decisions when sensing is weak.
Related areas in this practice
Perception you can schedule around
Performance claims include failure modes and fallback behaviors.
- Benchmark protocols with representative datasets and stress cases.
- Latency budgets aligned to control and planning rates.
- Monitoring hooks for drift and dirty optics in the field.
Talk with engineers who own the work
Request a technical pass on Perception: constraints, risks, and a practical next step with clear assumptions.