Google (Waymo) and Mobileye both are doing self-driving cars and they have different strategies,
|Level||L4||L2 -> L3 -> L4|
|Years of development||8 years (from approx. 2009)||18 years (from approx. 1999)|
|Year to reach L4||2020||2021|
Autonomous Level 4 is high driving automation at which a driver is still in the car and he can overtake the autonomous system. Waymo also detects objects but focuses more on its deep learning to mimic a good driver. However, a good driver can handle “new” and not-experienced situations safely, which is the rare cases in ML database. Without enough such rare cases, ML will never learn well. To collect such cases, it faces two problems,
- ML resource will exponentially increase
- It will never achieve zero-fatality rate with limited cases for ML because there are always cases AI driver does not see/learn
On the other hand, Mobileye sets the goal of zero-fatality rate for its system. The fatality rate for 100 million Km (in USA in 2015) is 0.7 . It is questionable if it is a realistic goal to have zero-fatality rate for autonomous drive.
Furthermore, Mobileye claims that its approach is different from Waymo’s. I think they have big overlaps.