Technically Speaking: How continuous fuzzing secures software while increasing developer productivity
Motional uses continuous fuzzing to make sure that our software is as safe and secure as possible before deploying it – or if there is a glitch, that the system can handle it gracefully.
Technically Speaking: Improving AV Perception Through Transformative Machine Learning
Transformer Neural Networks are receiving increased attention about how they can improve AI-driven technology. Our latest Technically Speaking blog explores how Motional has been using Transformers to make our perception function better.
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.
Closing the Loop: Traveling Back in Time to 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.
A Path Forward: Using AI to Improve Remote Vehicle Assistance for AVs
As Motional’s robotaxis drive more, our vehicle assistance system will use machine learning principles to become smarter and require less human intervention over time.
Engineering For Delivery: How Motional designed the IONIQ 5 robotaxi to move people – and goods
Motional engineers and product designers are creating an AV capable of serving dual purposes without losing functionality for either.
DriverlessEd Chapter 3: Enjoying the Driverless Ride
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.
"Wait For Me": Improving robotaxi accessibility through the push of a button
Motional researchers are developing an app-based feature that lets riders with disabilities ask their robotaxi for more time while being picked up.
Enjoying The Driverless Ride: How Motional Is Creating A Ride Quality Metric For Its AVs
Motional is learning how to measure whether a ride in a driverless vehicle feels safe, comfortable, or both.
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.
