Perception systems that survive production.
15+ years at the intersection of perception algorithms and automotive production reality: radar, camera, and lidar systems taken from concept to the assembly line. Where the algorithm is only half the problem; the other half is calibration lines, qualification chambers, and the safety case.
- RANGE
- ≤ 250 m
- COVERAGE
- 360°
- BAND
- 76–81 GHz
- STRENGTH
- all-weather
Sees velocity directly and works through rain, fog, and snow. Coarse angular resolution unless imaging-class.
* Illustrative values for the demo widget - representative automotive-sensor figures, not tied to a specific program.
Years in ADAS / AV
Production cost savings delivered
Pillars in the technical series
Sensor coverage integrated
From sensor to safety case
Start here
Imaging Radar vs. Classic Automotive Radar: What Actually Changes at the System Level
The datasheet difference between imaging radar and classic automotive radar fits on one line. Angular resolution improves several-fold (approaching an order of magnitude against the coarsest legacy sensors), and you gain a…
Aug 2, 2026 · 14 min
Why Radar Keeps Surviving the "Cameras Are Enough" Argument, and Where the Argument Has a Point
Every so often, someone with a large platform declares automotive radar obsolete, and every time the industry quietly keeps putting radar on cars. The camera-only argument is not stupid, it is made…
Jul 11, 2026 · 10 min
Robotaxi L4 vs. Consumer L2+: Two Industries Pretending to Be One
The public conversation about autonomous driving treats robotaxis and consumer driver-assistance as points on one ladder, as if a hands-free highway system is simply a robotaxi that hasn't finished climbing. I've worked…
Jul 26, 2026 · 13 minFrom concept to the assembly line.
15+ years turning sensor physics into production programs: radar, camera, lidar, and the safety case that ships with them.