Discussion of why solving edge cases is critical to the success of artificial intelligence. Hear from Nuro and Zoox industry experts as they share what it takes to solve edge cases to achieve full-scale deployment of autonomous mobility across the world.
Here are 3 key takeaways from the session:
- Edge cases will always show up. They need to be structured in a way so that one can respond quickly.
- The key to solving edge cases is tooling and processes which include simulation to quickly iterate on edge cases, incorporate into machines and deploy smoothly.
- It is important to build a cohesive safety validation plan that takes edge cases into account, and understands frequency and taxonomy.