So
- Waymo’s AVs with sensor fusion running 4 million miles per week
- with their published safety data and analyses on 10s of millions of miles showing much better than human safety and
- their many articles with demos and videos
- most other AV companies using multi-sensor
isn’t enough evidence?
People knowledgable on AVs and machine learning are going to count the above as good, obvious evidence.
Waymo blog:
the foundation model fuses camera, lidar, and radar inputs over time, producing objects, semantics, and rich embeddings for downstream tasks. These inputs help our system make fast and safe driving decisions.
Waymo AI blog
Politely, I believe you have some misunderstanding of machine learning and sensor fusion.
Upthread, I directed you to specific articles and asked if you read them.
Never heard back.
Perhaps you are not open to evidence?
Did you try
- a search “multi-label image classifier”?
- look at this page sensor fusion article
or any similar pages?