Technically Speaking: Using Machine Learning to Map Roadways Faster
Motional's latest Technically Speaking blog explains how we're using machine learning to speed up the process of mapping public roadways prior to launching commercial passenger service.
Technically Speaking: Closing The Loop To Travel Back And Help AVs Plan Better
Motional's latest Technically Speaking blog focuses on Planning, and how using closed-loop training will help refine the modeling AVs use to create a safe path forward quicker.
Motional Walks Transportation Planners Through Progress on AVs
Motional President and CEO Karl Iagnemma, Chief Technology Officer Laura Major, and others told NACTO attendees about the company’s driverless technology, approach to safety and accessibility, and the IONIQ 5 robotaxi.
Motional Expands Autonomous Testing to San Diego
By testing our AV technology in multiple, unique cities we can ensure Motional's driverless vehicles can adapt quickly to new driving environments.
DriverlessEd Chapter 2: The Difference Between ADAS and AVs
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).
Technically Speaking: Predicting the future in real time for safer autonomous driving
Motional uses multi-modal prediction models to more accurately predict and anticipate what agents around our AVs are going to do next.
Technically Speaking: Mining For Scenarios To Help Better Train Our AVs
Motional is using AI to sift through mountains of vehicle data to find the unique driving scenarios needed to make AV tech smarter.
Technically Speaking: Auto-labeling With Offline Perception
Motional is building a world-class offline perception system that will automatically label the data required to train our next-generation vehicles.
