Driverless Cars

Innoviz is developing an enhanced solution including the InnovizTwo lidar, a new InnovizCore compute box, and AI-powered software solutions including an industry-first MRM system to enable Level 3 automated driving capabilities to a broader range of future vehicles.

New strategy can help avoid complex models of the self-driving vehicles and their environments, as well as the expensive, time-consuming validation of those models.

The intent is to offer OEMs an integrated hardware/software solution based on Horizon’s Journey series of chips and compute solutions and Wind River’s cloud-to-edge portfolio to reduce time to market and cost by simplifying development and integration for applications.

According to Yole Intelligence, Chinese passenger car OEMs and robotaxi technology companies are driving the automotive lidar market, which is expected to grow globally to about $4.5 billion in 2028.

The company has created a new division led by repair industry veteran Doug Kelly aimed at fixing the fragmented and immature ADAS aftermarket that leaves drivers vulnerable to a host of potential safety issues.

The new intelligent speed assist solution allows OEMs whose vehicles already integrate the supplier’s EyeQ4- and EyeQ6 chips to meet the new regulation by updating software without any new hardware requirements.

Advanced Navigation, the world’s most determined innovator in artificial intelligence for robotic and navigation technologies…

Sensors and microchips in pavement markers could provide road condition data and shift part of a car’s processing loads to infrastructure, says a research team at Oak Ridge National Laboratory and Western Michigan University.

Automobiles and trucks are increasingly equipped with a variety of sensors, many of which can be harnessed to aid in navigation for autonomous vehicles, Hexagon officials said at the recent HxGN Live event.

The software-defined 4Sight+ dramatically increases spatial resolution by 400% and range by 20% to deliver industry-leading path-planning, obstacle avoidance, and prediction capabilities.