The LiDAR supports different performance configurations.
Innoviz Technologies offers an optional embedded automotive-grade Perception Platform (InnovizAPP) that includes classification and detection capabilities in addition to raw point cloud data.
60% smaller and lighter than InnovizTwo LR, InnovizThree ensures minimum in-cabin acoustic noise and power consumption in L3 and L4 AVs
InnovizThree is only 34mm high, making it ideal for behind-the windshield or roofline integration in L3 passenger cars and L4 shuttles and robotaxis.
Maximum Angular Resolution (HxV)
Pre-Configured Frame Rate
Detection Range
Maximum Field of View (HxV)
Dimensions (HxWxD)
Maximum Pixel Rate
The LiDAR supports different performance configurations.
Innoviz Technologies offers an optional embedded automotive-grade Perception Platform (InnovizAPP) that includes classification and detection capabilities in addition to raw point cloud data.
InnovizThree has an individually-controlled region of interest for dynamic focus in a limited FOV.
InnovizThree enables flexible control of the vertical resolution throughout the vertical FOV. It can support both uniform resolution or variable resolution (for example, high resolution within the ROI and lower resolution outside of the ROI). The InnovizThree vertical FOV also includes panning capabilities that support varying mounting tolerances and driving conditions, such as vehicle loading.
InnovizThree returns multiple reflections per pixel and records and stores multiple points in a 3D environment. This is important when laser pulses hit rain droplets, snowflakes, or more than one object on their path. It can even distinguish second reflections detected beyond fences.
InnovizThree has no gaps in the scanning pattern within the Region of Interest due to contiguous pixels, which are critical to building a safe autonomous vehicle perception system. Without this, a system might not detect humans or collision-relevant small objects lying on the road’s surface if they are within point cloud data gaps.
The LiDAR also features outstanding detection of window blockage, regardless of raindrops, snow, ice, mud, bugs or debris on the LiDAR window. This ensures that all objects and obstacles in the FOV are properly detected and identified. It can even distinguish second reflections detected beyond fences.