Autonomy

The VCSEL-based sensors pick out some tough-to-see objects at some fairly long distances, including a black car more than 150 m away.

Billions of dollars of investment and development are paying off as major robotaxi companies plan to launch commercial ride-hailing services over the next three years.

Autonomous vehicles use AI running on powerful processors to make sense of sensor data to perceive the world around them and chart a safe path to the destination.

Zoox CFO Ilan Hart and Bruce Baumgartner, Vice President of Procurement & Strategic Partnerships, discuss their company, their technology and the future of personal transportation in urban areas.

Next-generation E/E architectures will create new business models for automakers and suppliers. But a Wards Intelligence survey shows few see themselves as pacesetters, and there’s some uncertainty about where the best monetization opportunities are. The massive change in operations, and the associated costs, will put constraints on the timeframe and depth of the changes in infrastructure and vehicle architectures that OEMs will be able to address.

Autonomous vehicles require massive processing capability.  The trend among most AV developers and OEMs toward centralized computing provides many advantages in development, testing, upgrades and reusing software across multiple vehicle models.

Elon Musk reveals Tesla Bot designed to perform dangerous, repetitive and boring tasks and have “profound implications” for the economy.

Sean Harrington describes the Optimus Ride strategy of operating low-speed geofenced autonomous shuttles to reduce costs for communities, provide a shorter wait time than current public transportation and reduce vehicle miles traveled, pollution and traffic congestion.

A quick overview of the autonomous vehicle sector, what it is, why it’s taking so long, where we are now and what’s coming next.

Ford, Argo AI and Lyft are working together to begin commercialization of autonomous Ford Escape Hybrids for ride hailing at scale through the Lyft network by the end of 2021.

Makers of autonomous vehicles are using development tools from leading providers such as Argo AI, Baidu, NVIDIA and Waymo as well as skateboard platforms from Canoo and Coast Autonomous to speed up production.

A consequence of a software defined environment, driven by data, is that process digitalization and model engineering are becoming essential assets at various levels in the automotive industry: from the vehicles to OEMs´ back-end and the mobility infrastructure.