Innoviz Technologies LiDAR Solutions

Innoviz Technologies is a leader in the development of advanced LiDAR technology, specifically engineered to enhance autonomous driving capabilities. With a commitment to innovation and safety, Innoviz offers a range of solid-state LiDAR sensors designed for various applications in the automotive industry, including the InnovizOne and InnovizTwo.

InnovizOne is crafted for automotive applications, capable of detecting objects at distances up to 250 meters. It operates effectively in various environmental conditions, ensuring safety for passengers and pedestrians. This sensor adheres to high automotive industry standards, having received ISO certifications that validate its quality and safety compliance. Key features include:
- Multiple reflections per pixel for improved detection
- Focused region of interest enhancing classification performance

InnovizTwo, on the other hand, is designed to provide high-performance solutions for all levels of autonomous driving at a significantly lower cost. With a maximum angular resolution of 0.05° and a detection range of 0.3m-300m, this innovative sensor enables manufacturers to support L2+ functionalities while paving the way for full L3 automation. Its capabilities include:
- Configurable regions of interest
- Resilience to varying environmental factors
- Efficient handling of multiple reflections for dynamic driving conditions

Complementing these hardware solutions, Innoviz also provides advanced perception software that optimizes the utilization of its LiDAR sensors. This software enhances the understanding of the 3D driving environment, incorporating features such as object detection, classification, tracking, and collision classification. Its seamless integration with automotive-grade computing platforms distinguishes Innoviz as a leader in the integration of software with hardware, ensuring enhanced safety and performance for autonomous vehicles.

Innoviz's technology is validated through partnerships with leading automotive manufacturers, exemplifying its impact on the future of autonomous driving.