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Suggested content from Motional
Building Towards End-to-End Machine Learning Autonomy: Improving Multi-Object Tracking with a Single, Unified Model
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.
Why an Exceptional Coach is Needed for Autonomous Vehicles
At Motional, we have a rigorous, multifaceted training curriculum, including supervised, unsupervised and reinforcement learning in simulated environments, ensuring our vehicles are prepared for what they will encounter on the roads. Learn more how we train our autonomous driving system from Motional's President and CEO Laura Major.
Why is Behavior Prediction Important for Autonomous Driving?
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.