Israeli solid-state LiDAR developer Innoviz Technologies is collaborating with Chinese automotive AI firm JueFX to develop real time traffic management and Vehicle-to-Everything (V2X) applications. Data collected from Innoviz lidar mounted on traffic poles and road bridges will be shared across the JueFX V2X network with autonomous vehicles to improve road safety and traffic flow.

JueFX’s solutions provide digitalisation of road scenes, and integrate real-time sensor data with environmental data, combining road data and computing engine to form a rich data and decision platform. Through the combination of road data and edge computing, JueFX aims to provide high reliability and high safety autonomous driving solutions for intelligent mobility.

Utilising Innoviz’s solid-state LiDAR sensor as its primary sensor, JueFX will install the InnovizOne onto traffic poles to monitor the traffic in real time.

Examples of road conditions that may be improved by the combination of high-resolution InnovizOne LiDAR data and JueFX’s V2X solution include sensors placed on roads reporting in real time on obstacles that are out of the line of sight of a vehicle, such as pedestrians or bicyclists behind buildings or vehicles that are moving towards the road and are about to cross the road.  Sensors placed on road poles can also report that a car or truck is merging onto the road from a side road or beyond a curve in the road, and alert other vehicles on the road to the emerging vehicle.

“We are excited to expand our technology collaboration with JueFX, the current market leader in V2X-enabled cars, and integrate our high-resolution, solid-state LiDAR technology into their vehicle-to-everything solutions,” said Omer Keilaf, CEO and Co-Founder of Innoviz. “LiDAR is well-known for its ability to enable safe automated and autonomous driving, however, attention is now being given to how it can improve V2X solutions – the missing piece of the autonomous driving puzzle. To create safer roads, autonomous vehicles need to be able to identify, categorise and react to objects in their path as well as anticipate blind spots and what’s to come.”

Andy Lee, CEO of JueFX, said: “With the arrival of the era of intelligent transportation and vehicle road coordination in China, fusion perception technology will become one of the most important competitive advantages for autonomous driving players. Our goal is to link industries through our data platform and build a broad alliance to empower multi-scene autonomous driving.  InnovizOne was selected due to its outstanding performance and high automotive-grade specifications, as well as other rich features, which enable us to create the world’s best sensor fusion and empower our perception algorithm to an unprecedented level. We look forward to working with Innoviz to improve the efficiency and safety of our solutions.”