Articles

In autonomous driving, multi-object tracking is a fundamental component that identifies, locates and follows all the relevant objects in the driving scene.  Read how Motional is approaching multi-object tracking with a single, unified model. 

Prediction is the ability to accurately reason a driving environment and anticipate the behavior of other road users.  This technical blog covers Motional's approach to prediction, and how scaling up our  behavior prediction network has been a major part of our vision to develop Large Driving Models (LDMs) that support globally scalable autonomous driving. 

Hear from Motional's President and CEO Laura Major on how we're leveraging the latest breakthroughs in embodied AI and foundation models to develop safe autonomous technology that can effectively scale across cities. 

 In this blog post, we introduce Omnitag, an ML-Powered Multimodal Data Mining Framework that transforms the "dark matter" of autonomy into refined, ready-to-use fuel for next-generation AVs.

At Motional, we are pioneering the next evolution of AV technology by transitioning from traditional rule-based planning systems to an end-to-end machine learning (ML) powered motion planning system. This shift allows us to address some of the key limitations of legacy AV architectures and embrace a future where AVs rapidly learn, adapt, and improve with every mile driven.

Motional is now conducting highway speed testing with our all-electric IONIQ 5 robotaxis. 

Yi Wang, Senior Principal Engineer at Motional, does a deep dive into our approach for scaling our ML pipelines, and demonstrates three example design cases.

Motional's President and Chief Executive Officer (CEO) Karl Iagnemma will transition to the role of Senior Strategy Advisor. Motional’s Chief Technology Officer (CTO) Laura Major will take on an expanded leadership role as interim CEO and CTO.

By rethinking system architecture and using machine learning to analyze and process previously discarded low-level radar data, Motional is working on dramatically enhancing radar performance to the point that it rivals the point clouds produced by lidar. 

Motional's CEO Karl Iagnemma shares an update on changes to Motional's technical and business strategy.

Every Motional robotaxi is tracked in real-time in a state-of-the-art Command Center, which gives human agents an unprecedented level of visibility into their performance, allows it to provide remote assistance if needed, and monitor for issues with passengers.  

Motional's PredictNet approach to prediction uses machine learning principles and a multi-task learning architecture to more accurately predict the future behaviors of surrounding agents.

The report takes a deep dive into the public perception and understanding of autonomous vehicle (AV) technology, including the headwinds AV companies face from the public, generational perceptions, and factors driving adoption. 

Motional hires former Hyundai executive to lead company’s corporate strategy towards a driverless future. Sehyuk Park brings more than 25 years of strategy and management experience as Motional prepares to scale commercial services 

As AV technology advances, and the global supply chain responds to industry demand, radars could emerge as the central sensors for robotaxis, says Motional's Chief Technology Officer.