19/10/2026
How do you build robust automotive vision AI that runs efficiently on limited hardware? It takes more than a good neural network. It requires the right model architecture, synthetic data, rigorous real-world validation, and a development process that allows engineers to test, learn and improve quickly. Neonode engineers, Anders Sahlström and Johan Villysson, explain how these elements work together to deliver real-time computer vision under demanding automotive constraints; https://hubs.ly/Q04BwvfB0