Waymo explains its multimodal approach to autonomous driving

At Y Combinator Startup School 2026, Waymo Co-CEO Dmitri Dolgov detailed Waymo’s multimodal technical architecture for its autonomous robotaxis. Unlike Tesla’s vision-only approach, Waymo combines high-resolution cameras, active LiDAR, and radar into a unified perception model. This sensor fusion provides redundancy and enhances detection in adverse conditions such as fog, rain, or low light. Waymo argues this combination overcomes the limitations of single-modality systems and eases regulatory approval, though it increases hardware costs.

• Waymo uses cameras, active LiDAR, and radar in a multimodal system
• Tesla relies solely on vision, dropping radar and LiDAR
• Multimodality improves detection under adverse conditions

🤖 Editorial summary of the cited source, with AI-assisted analysis -- not HgYperDrive original reporting. The original source is linked above for verification. More on how this works: editorial policy →