Building City Scale Neural Radiance Fields for Autonomous Driving

Recent advancements in neural rendering have shown great promise in using neural networks to represent 3D scenes more efficiently and robustly. We’re using this technique to automatically generate photorealistic 3D worlds and scenarios from real-world driving data. Here we share our experience building a pipeline for constructing neural radiance fields (NeRFs) at a city scale.

Piotr Sokolski, Machine Learning Engineer, Wayve


Please change your cookie settings to view embedded content, or view this video on YouTube.