Today, we’re excited to announce a multiphase commercial pilot with Uber Freight to move freight in Texas and to explore integrating access to Uber Freight’s network within Aurora Horizon, our trucking product suite. This will provide carriers with an additional set of tools to further streamline their operations and maximize the uptime of their Aurora-powered trucks. 

Self-driving is full of technical challenges, and as a company focused on delivering the benefits of self-driving technology safely, quickly, and broadly, Aurora is solving these challenges using a variety of disciplines such as machine learning, computer vision, simulation, and vehicle log ingestion.

Safety is at the core of everything we do at Aurora — from how we test and develop, to the culture we create and the products we are working to deploy. A key part of our approach to safety is that we openly share components of our safety work with the industry, as we did with our Safety Case Framework.

It’s not every year that a company more than doubles in size, announces a series of industry-defining partnerships, and goes public, but 2021 was that year for Aurora. Throughout the year we were able to move swiftly and decisively in no small part because of the foundational investments we’ve made in our technology and our team. 

Building a company and technology to transform an industry like transportation means planning for the long term. One of the most critical first steps for developing a generational product is to invest in the foundational elements that enable scalability.

One of the greatest challenges in self-driving is the interaction with other actors on the road— whether drivers, cyclists, or pedestrians. AVs would already likely be ubiquitous if these technical challenges of interaction were not so significant.