"Our view is that it's definitely beneficial, and our approach to sensors has been that we need to rapidly build our foundation model as fast as possible,"
"Now, what's happened is that we no longer run the models like that. So the models benefit from the maximum amount of information on the front of the model,"
"The cost of LiDAR used to be tens of thousands of dollars. It's now low, a couple of hundred bucks,"
"This sensor ambiguity causes increased, not decreased, risk. That's why Waymos can't drive on highways,"
Rivian regards LiDAR as a beneficial complement to cameras for autonomous driving and favors a multi-sensor approach to accelerate foundation-model development. LiDAR hardware costs have dropped from tens of thousands to roughly a couple hundred dollars, improving affordability. LiDAR can detect aspects of the environment that cameras cannot, and modern model architectures can integrate diverse sensor inputs without earlier processing limitations. Tesla and its leadership prioritize camera-only systems and warn that combining LiDAR and radar with cameras can create sensor ambiguity and increased risk, which they say impedes some competitors on highways.
Read at Business Insider
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