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> The problem that needs to be solved is vision. "Solving vision" is a 10x more harder problem than building a practical self-driving car with LIDAR. We might
by ProblemFactory 8y ago
> The problem that needs to be solved is vision.
"Solving vision" is a 10x more harder problem than building a practical self-driving car with LIDAR. We might get it working with LIDAR in 2-5 years, but without LIDAR in 20-50 years.
Arguably Alphabet (Google + Waymo + Deepmind + co) is the largest group of AI and ML experts in the world. If someone is going to figure out general computer vision, then it's likely to be them - and if they are working on LIDAR first then there must be a good reason why.
I believe Tesla is promoting LIDAR-less systems just because it's expensive bulky hardware, and they can't possibly sell cars with it at a reasonable cost. Calling cameras and radars "full self-driving hardware" is a good marketing tactic, but without any guarantees that they can build the software for it in the next 20 years.
- deepnotderp 8y agoThe issue from my (admittedly little) experience is that it's all about edge cases and reliability. It's easy to make a demo with cameras only but to deal with the countless unimaginable edge cases, you need LIDAR. The other factor is that you need damn near six sigma accuracy for ML algos for robust SDCs, and while it's theoretically possible to match LIDAR with cameras and current DL, it's impossible to do so with the needed 99.99 percent accuracy for autonomy.