The AutoSeg Vision Foundation model is an artificial intelligence framework powering camera-based scene understanding for autonomous driving, developed by the Autoware Foundation. AutoSeg’s custom neural network architecture processes images and computes multiple perception outputs including semantic segmentation, 3D scene estimation, end-to-end path prediction and lane detection – forming the building blocks of autonomous driving. Combining AutoSeg with Autoware’s OpenADKit -offers a modular, scalable and cross-platform AI system which can be trained in the cloud, deployed on the edge and updated over-the-air as part of a holistic data pipeline, enabling autonomous cars to learn as they drive.

• Neural network architecture of the AutoSeg Vision Foundation Model
• How AutoSeg performs in real-world driving scenarios
• OpenADKit framework
• AutoSeg and OpenADKit full AI pipeline
• Autoware’s future vision for autonomous driving