Chirp Light develops self‑navigation sensors based on 4D FMCW LiDAR that combine mass‑produced components with integrated optics to deliver high‑reliability, low‑cost, and compact solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous robots and vehicles require precise navigation data, but traditional sensors often rely on feature tracking, are sensitive to lighting conditions, and add significant cost, size, and power burdens to high‑volume platforms.
Solution
Chirp Light offers a 4D FMCW LiDAR sensor that directly measures both distance and instantaneous velocity without needing feature tracking. By using mass‑produced components and integrated optics, the sensor achieves a compact form factor, low cost, and high reliability suitable for large‑scale manufacturing. Its coherent sensing principle operates consistently in full sunlight and total darkness, while an efficient edge‑computing architecture minimizes power draw and host‑processor load, delivering calibration‑free perception for robust autonomous navigation.
Target Audience
Primary customers are manufacturers of autonomous robots, drones, and vehicles that need compact, low‑cost, and reliable navigation sensors for high‑volume production.
Features
- Simultaneous distance and velocity (speed) measurement via FMCW LiDAR, providing true 4D sensing
- Calibration‑free operation with integrated optics and mass‑production components
- Immunity to ambient light conditions; works equally well in bright sunlight and darkness
- Small form factor and low unit cost enabled by standard manufacturing processes
- Edge‑only processing architecture reduces power consumption and host CPU load
- High reliability and suitability for high‑volume autonomous platforms