Articles

TUV SUD, a renowned international safety assessor, is reviewing Motional's robotaxi safety evaluation process.

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). 

Motional’s research has unlocked an approach to streaming object detection that reduces latency while increasing accuracy, giving AVs even better data needed to make safe decisions.

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 and Via announce the launch of a new robotaxi service in Las Vegas, which will provide free self-driving rides to passengers in the city's downtown.

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 to conduct autonomous deliveries for Uber Eats customers in Santa Monica 

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