Innoviz Introduces Automotive Perception Platform for Autonomous Vehicles

The InnovizAPP detects and classifies objects as far as 250 meters away in real time.

The InnovizAPP uses LiDAR sensors and proprietary AI algorithms to detect and classify objects. (Image courtesy of Innoviz.)

The InnovizAPP uses LiDAR sensors and proprietary AI algorithms to detect and classify objects. (Image courtesy of Innoviz.)

Solid-state LiDAR sensor and perception software developer Innoviz Technologies recently announced that it will be launching a new application designed especially for autonomous vehicles (AVs). The new automotive perception platform, or InnovizAPP, will include automotive-grade hardware and software that will equip AVs with the ability to detect and classify objects while on the road, allowing for safer autonomous driving experiences. According to the company, it is expecting this technology to help automotive companies fast-track global AV production. The app has already been made available for a select number of large automakers.

The technology is built on Innoviz’s perception software, which uses a combination of data from InnovizOne LiDAR sensors and proprietary AI algorithms to analyze the point cloud and estimate an object’s speed. InnovizOne is the company’s automotive-grade solid-state LiDAR sensor, which was specially designed for automakers, robotaxis, shuttles, and delivery companies that intend to use automotive-grade autonomous solutions that can be easily mass-produced. Innoviz states that the platform can detect and classify objects up to a distance of 250 meters. This includes common road impediments, such as other cars, trucks, motorcycles and pedestrians. InnovizAPP’s perception algorithms then actively detect and classify pixels as either collision relevant or non-collision relevant in real time.

The hardware works in tandem with the solution by providing automotive-grade benchmark designs that are taken from low-cost automotive-grade parts. This will enable automakers to test and develop autonomous driving systems through the application’s simple plug-and-play feature, which lets it easily connect to existing vehicle systems. Real-time perception can then be integrated much more quickly and efficiently, simultaneously speeding up the production process. This also improves safety testing in AVs because of its adaptability.

According to Innoviz, the decision to release an automotive perception platform was mainly due to a number of requests from automakers themselves.

“InnovizAPP is a technology breakthrough, offering an adaptable automotive-grade chip and platform that can be incorporated into existing vehicles,” shared Innoviz CEO and co-founder Omar Keilaf. “We developed it in response to requests from major automakers, and our customers in Asia, Europe, and North America are already optimizing their AV programs with this platform, which is rapidly becoming the gold standard for customer validation.”

Innoviz is currently ISO 9001:2015-certified, and it 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 it is following ASPICE standards for its software development.

The company also announced in December 2020 that it has partnered with blank check company Collective Growth Corporation, effectively listing Innoviz as a public company under NASDAQ with the ticker symbol “INVZ.”

For more information, visit Innoviz’s website at www.innoviz.tech.