Innoviz Technologies Ltd., a leading supplier of high-performance, automotive-grade LiDAR sensor platforms, announced the launch of the InnovizTwo Ultra Long-Range (ULR) LiDAR, a new LiDAR sensor engineered to meet the growing demands of Physical AI systems that require high-fidelity, real-time understanding of the physical world at infrastructure scale.
With detection capability at distances of up to 1 kilometer and increased point-cloud resolution, this Class 1 eye-safe new LiDAR is designed to support wide-area sensing for robotaxis, heavy trucks, borders, runways, and large installations, leveraging the precision and reliability of Innoviz’s automotive-grade LiDAR technology. InnovizTwo ULR LiDAR is built with the same production tools and processes as the InnovizTwo LiDAR sensor. First samples of InnovizTwo Ultra Long-Range (ULR) LiDAR were delivered to select customers.
“With the InnovizTwo Ultra Long-Range LiDAR, we are extending the boundaries of what our LiDAR can do in the field,” said Omer Keilaf, CEO and Co-Founder of Innoviz. “Physical AI systems require precise, real-time 3D understanding of the world, not probabilistic inference alone. The combination of kilometer-scale range, extremely high-resolution 3D sensing, and the durability of an automotive-grade LiDAR gives operators across a wide range of industries a tool that performs reliably in harsh conditions, day or night.”
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InnovizTwo ULR LiDAR addresses a critical gap in several applications:
- Ultra–Early Hazard Detection for Autonomous Systems – Detecting and classifying small hazards hundreds of meters earlier can support autonomous vehicles in driving faster and smoother, while maintaining safety margins at highway speeds.
- Heavy Trucks – The long stopping distances and high inertia of heavy trucks demand kilometer–scale, high–resolution perception to identify obstacles early enough for safe braking and lane planning.
- Border & Wide Area Perimeter Security – Up to 1-Kilometer range, high–resolution LiDAR enables early detection and classification of humans, vehicles, and animals over vast areas, designed to reduce false alarms compared to radar.
- Drone Detection – Fine angular resolution at long range is designed to support detection and tracking of small, fast, low–reflectivity aerial targets that are difficult for radar and cameras to reliably classify.
- City–Scale Real–Time Digital Twin – A single sensor can generate a high–fidelity, continuously updated 3D model of large urban areas, supporting real–time, Physical AI–driven city management.
- Long–Range Traffic & Incident Prediction – Seeing lane–level traffic behavior and incidents far upstream is designed to support predictive traffic control and intervention before congestion or accidents propagate.
- Airport & Port Safety – High‑resolution detection at up to 1 kilometer-range supports early identification of foreign object debris, vehicles or people across entire runways, taxiways, or port zones, using far fewer sensors.
- Large Area Industrial Automation – Large industrial sites can be monitored end–to–end with precise 3D awareness, supporting safer autonomous operations and real–time safety zoning without dense sensor deployment.
SOURCE: PRNewswire
