Articles

Chapter 3 of Motional's DriverlessEd series explains how AV companies like Motional are using research to understand what makes a ride comfortable, the types of features passengers expect, ways to make the vehicles accessible, and even how AVs can communicate with people.

Motional researchers are developing an app-based feature that lets riders with disabilities ask their robotaxi for more time while being picked up.

Motional is learning how to measure whether a ride in a driverless vehicle feels safe, comfortable, or both.

Motional uses multi-modal prediction models to more accurately predict and anticipate what agents around our AVs are going to do next.

Motional is using AI to sift through mountains of vehicle data to find the unique driving scenarios needed to make AV tech smarter.

Motional is building a world-class offline perception system that will automatically label the data required to train our next-generation vehicles.

Motional's cybersecurity expert explains how having suppliers complete an AVCMDS can help compare multiple vendors, kickstart discussions on required features, and identify security deficiencies. 

Motional is working to make driverless vehicles a safe, reliable, and accessible reality – for anyone, anywhere – and this effort begins with a company culture that thrives on fresh ideas and wide-ranging perspectives.