I saw the Tesla Robotaxi:
- Drive into oncoming traffic, getting honked at in the process.
- Signal a turn and then go straight at a stop sign with turn signal on.
- Park in a fire lane to drop off the passenger.
And that was in a single 22 minute ride. Not great performance at all.
I am entirely opposed to driving algorithms. Autopilot on planes works very well because it is used in open sky and does not have to make major decisions about moving in close proximity to other planes and obstacles. Its almost entirely mathematical, and even then in specific circumstances it is designed to disengage and put control back in the hands of a human.
Cars do not have this luxury and operate entirely in close proximity to other vehicles and obstacles. Very little of the act of driving a car is math. It’s almost entirely decision making. It requires fast and instinctive response to subtle changes in environment, pattern recognition that human brains are better at than algorithms.
To me this technology perfectly encapsulates the difficulty in making algorithms that mimic human behavior. The last 10% of optimization to make par with humans requires an exponential amount more energy and research than the first 90% does. 90% of the performance of a human is entirely insufficient where life and death is concerned.
Investment costs should be going to public transport systems. They are more cost efficient, more accessible, more fuel/resource efficient, and far far far safer than cars could ever be even with all human drivers. This is a colossal waste of energy time and money for a product that will not be par with human performance for a long time. Those resources could be making our world more accessible for everyone, instead they’re making it more accessible for no one and making the roads significantly more dangerous. Capitalism will be the end of us all if we let them. Sorry that train and bus infrastructure isnt “flashy enough” for you. You clearly havent seen the public transport systems in Beijing. The technology we have here is decades behind and so underfunded its infuriating.
Public transport systems are just part of a mobility solution, but it isn’t viable to have that everywhere. Heck, even here in The Netherlands, a country the size of a post stamp, public transport doesn’t work outside of the major cities. So basically, outside of the cities, we are also relying on cars.
Therefore, I do believe there will be a place for autonomous driving in the future of mobility and that it has the potential to reduce number of accidents, traffic jams and parking problems while increasing the average speed we drive around with.
The only thing that has me a bit worried is Tesla’s approach to autonomous driving, fully relying on the camera system. Somehow, Musk believes a camera system is superior to human vision, while it’s not. I drive a Tesla (yeah, I know) and if the conditions aren’t perfect, the car disables "safety’ features, like lane assist. For instance when it’s raining heavily or when the sun is shining directly into the camera lenses. This must be a key reason in choosing Austin for the demo/rollout.
Meanwhile, we see what other manufacturers use and how they are progressing. For instance, BMW and Mercedes are doing well with their systems, which are a blend of cameras and sensors. To me, that does seem like the way to go to introduce autonomous driving safely.
There’s usually buses from villages into the major cities though, it live in one and there’s a bus every hour to go to a nearby city, from where I can then take a train. I wouldn’t say it’s that bad
This technology purely exists to make human drivers redundant and put the money in the hands of big tech and eventually the ruling class composed off of politicians risk averse capitalists and beurocracy. There is no other explanation for robo taxis to exist. There are better solution like trains and metros which can solve the movement of people from point A to point B easily. It does not come with a 3x-10x capital growth that making human drivers redundant will for the big tech companies.