Description
First-Of-Its-Kind Solid-State LiDAR SolutionInnovizOne is resilient to sunlight and weather conditions, and is able to deliver a rich 3D point cloud at distances up to 250 meters. When coupled with Innoviz’s perception software, the sensor enables superior object detection, classification and tracking with unrivaled angular resolution.
Both InnovizOne and the perception software are designed and developed to conform with the automotive industry’s highest standards – and Innoviz has received the necessary certifications and approvals to prove it. Innoviz is ISO 9001:2015-certified, and implements ISO 26262 (Functional safety) in its components (ASIC, Detector and MEMS) and LiDAR hardware and software systems from early stages. The company has also selected its manufacturers across the supply chain to meet IATF 16949, and is following ASPICE standards for its software development. |
Key Performance Metrics
| 0.1°x0.1°
Angular Resolution (HxV) |
5-20 FPS
Configurable Frame Rate |
0.1m to 250m Detection Range |
| 115°x25°
Maximum Field of View (HxV) |
45×111.4×97.9mm
Dimensions (HxWxD) |
ASIL B(D)
ISO 26262 Compliant |
Product Highlights
Region of Interest
InnovizOne includes a pre-configured region of interest (ROI) in the center of the Field of View, in which laser energy is focused to increase the detection range. The ROI measures 20°x8° (HxV). It does not affect the data interface’s bandwidth, resolution, or frame rate.
Multiple Reflections
InnovizOne 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 its path.
No Gaps Between Pixels
InnovizOne has no gaps in its scanning pattern due to contiguous pixels, which is critical to building a safe autonomous vehicle perception system. Without this, a system could miss collision-relevant small objects lying on the road’s surface or humans if they are within point cloud data gaps, causing devastating results.
Equally Distributed vFOV
InnovizOne provides uniform resolution over the entire vertical FOV. This enables the system to obtain more data than other sensors that focus only on the center (horizon) and lose data moving towards the edges. The InnovizOne vertical FOV is also built with panning capabilities to support mounting tolerances, as well as varying driving conditions such as vehicle loading.
Resilient to Sunlight and Weather Conditions
InnovizOne is resilient to ambient light sources, such as direct sunlight and blinding lights from oncoming cars, as well as poor weather conditions such as rain.
Market Applications
- Consumer Vehicles
- Robotaxis, Shuttles & Delivery
- Trucking
- Logistics
- Sidewalk Delivery
- Industrial Drones
- Heavy Machinery
Perception Software
Automotive-Grade Perception Software
Innoviz’s advanced perception software, a tool for extracting additional data from the point cloud, is designed to be the perfect complement to the company’s hardware offerings and provides vehicles with a deep understanding of any 3D driving scene. Innoviz was one of the first LiDAR companies to develop perception software to accompany its LiDAR products.
Industry-Leading Software SolutionThe perception software leverages the rich data derived from Innoviz’s LiDAR sensors, coupled with proprietary state-of-the-art AI algorithms, to provide leading objection detection, classification and tracking features, as well as collision classification, localization and calibration capabilities. When deployed alongside and in combination with other sensors’ perception algorithms, Innoviz’s software complements them to enhance performance and safety. The perception software is very resource-efficient and requires low compute power, making it compatible with various automotive-grade compute platforms. This achievement is a key differentiator against hardware-only LiDAR providers. |
Key Features
- Object Detection, Classification & Tracking
- Pixel Collision Classification
- Continuous Calibration
- ISO 26262 Compliant
Detection, Classification and TrackingDetects objects with high precision. Boasts two independent detectors for identifying objects (i.e. cars, trucks, motorcycles, pedestrians, bicycles) as they appear through their shape and other attributes, and due to their movement. Delivers both high-quality object detection as well as more advanced object tracking (the ability to designate the same object as such in consecutive frames). |
Pixel Collision ClassificationAccurately identifies the driveable area for autonomous and semi-autonomous vehicles by classifying each object in the 3D environment as collision-relevant or non-collision relevant with pixel-level data accuracy. Collision relevant subclasses are broken down into “objects” (i.e. car, truck, bicycle) or “obstacles”, the latter consisting of anything not classified as an object (i.e. tire, debris). |
Continuous Calibration
Calibrates between the sensor’s coordinate system and the vehicle’s coordinate system following vehicle mounting in the assembly line. Also fixes pixels’ spatial displacement, which can occur while driving on bumps and potholes, and due to acceleration and deacceleration.
EN 
PT 
ES 
Reviews
There are no reviews yet.