Articles

Motional engineers and product designers are creating an AV capable of serving dual purposes without losing functionality for either.

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.

Chapter 2 of Motional's DriverlessEd series explains the difference between advanced driver-assistance systems (ADAS) - such as adaptive cruise control and blind spot detection -  and automated vehicles (AVs). 

Chapter 1 of Motional's DriverlessEd series explains what driverless vehicles are, what a robotaxi is, and the rigorous safety practices that go into developing the technology.

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.