NODAR develops a camera-based 3D vision system utilizing wide-baseline camera arrays to provide real-time, long-range depth perception for autonomous vehicles. The Hammerhead™ platform enables detection of small objects up to 1,000 meters away, enhancing safety in complex driving environments.
Funding
$12M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PAFounders
Product
Problem
Autonomous vehicles require accurate, long-range 3D perception to navigate safely, but existing solutions like LiDAR can be expensive or have limitations in detecting small objects at a distance. This can compromise safety, especially at highway speeds where stopping distance is critical.
Solution
NODAR provides a camera-based 3D vision platform called Hammerhead™ that delivers high-fidelity depth maps at ranges up to 1,000 meters. Using wide-baseline, untethered camera arrays and proprietary software, the system accurately detects small objects, such as a 10cm brick at 150 meters. The Hammerhead™ platform uses standard cameras and computing hardware, and its patented algorithms maintain alignment between cameras mounted independently on the vehicle. This enables OEMs flexibility in camera placement and ensures reliable depth measurements despite road vibrations.
Target Audience
The primary target market includes developers of SAE L2+ and L3 passenger-vehicle ADAS (Advanced Driver Assistance Systems) and L4 autonomous trucks.
Features
- Long-range 3D sensing up to 1,000 meters using wide-baseline camera arrays
- High-resolution depth maps (1280x720 pixels @20 FPS)
- Detection of small objects at long distances (e.g., 10cm brick at 150m)
- Untethered camera design allows for flexible mounting options
- Patented auto-calibration algorithms maintain camera alignment
- Compatible with industry-standard cameras and compute platforms