Submitted by RolfEjerskov t3_111bnwz in Futurology
Over the last month I've researched Waymo, Cruise, Tesla and motional. Initially I was focused on comparing Lidar to cameras and Radar. Sensors are important, but it became apparent that there are 2 essential steps to that will lead us to self driving vehicles.
- In order to solve full self-driving properly, you actually just have to solve real world AI. (this is actually a quote from someone you might know :))
- As Level 5 autonomous driving is far away, the main focus right now is to have a fleet that continuously trains the AI model, which means that you over time.
Step 1 is super hard to achieve and the main reason for it is, that you really need to take a HUGE amount of factors into account when driving. It requires much more than AI can deliver right now.
I think that a lot of Tesla owners ask themselves why Radar and ultrasonic sensors have been removed. I believe the answer lies in that you can invest heavily in sensors, but then you might not obtain "the fleet" that will train your AI model.
Taking everything into consideration, we are probably somewhere between Level 2 (Partial Driving Automation) and Level 3 (Conditional Driving Automation). We have a long way to go before we reach Level 5 (Full Driving Automation).
What is your take on it? Looking forward to hear your point of view:)!
BigZaddyZ3 t1_j8dvxi0 wrote
I think now that machine learning is beginning to accelerate as a whole, the progress with self-driving cars will accelerate over the next few years as well.