> "When used correctly, [partially autonomous driving] is already significantly safer than a person driving by themselves" If you're an American, you're twice as likely to die with a steering wheel in your hands as you are to die at the hands of a murderer. Human-driven vehicle deaths cause grave second-order suffering for families and friends - and hurt the economy. A shift to technologies safer than human-driven ca…
Maybe that would be a good thing? Without need for parking, commercial districts could get denser and denser, and people could have nice large homes far away for cheaper than ever. If the cars aren't causing pollution or gridlock, what's so bad about living in the suburbs?
Master Plan, Part Deux
171–180 of 705 posts
Re: Master Plan, Part Deux
#172Earlier quoted context omitted.
Ford can have fewer employees per car because they're at full scale, they've outsourced nearly all their engineering and have outsourced their sales as well via an antiquated dealer model. https://www.youtube.com/watch?v=hf15nMnayXk
Say what you will about their "antiquated" business practices, but Ford consistently does one thing that Tesla never does: it turns a profit
1. http://revenuesandprofits.com/amazon-vs-walmart-revenues-and...
Re: Master Plan, Part Deux
#173I still don't understand the SolarCity part. Tesla is atop the best rated electric cars, and has a good trajectory toward that product line future, with lots of innovation ahead. Successful companies like Apple focus on best-in-class products, so Tesla is smart to continue focusing their resources into those product lines. Meanwhile SolarCity has been burning cash on a consistent basis [1], and is sitting in a hyper…
Re: Master Plan, Part Deux
#174Earlier quoted context omitted.
Also millions of miles of fleet learning a day, which Uber doesn't have, since they don't own the cars. Self-driving cars is a supervised learning problem, and he who has the data wins
It is a supervised learning problem, but that doesn't mean it will be solved by just shoving large amounts of data into a black box algorithm. This is not MobileEye's approach, and it almost certainly is not Tesla's approach. The data is useless unless it is annotated (e.g. a human labels where the lanes are, where the obstacles are, what the bicylist is doing, etc.) - that's the bottleneck, not collecting large amou…
Except that is exactly what Nvidia did, and it worked out fine for them: https://arxiv.org/abs/1604.07316
Re: Master Plan, Part Deux
#175> via massive fleet learning Is Tesla going to make this data freely available, to accelerate the development of safer autonomous driving software? Given that it's "morally reprehensible to delay release" of autopilot, it is also morally reprehensible not to publicly release such data if more groups working on the task will lead to safer software.
Re: Master Plan, Part Deux
#176My points of skepticism: 1. Semis . A typical long haul semi gets well under 10MPG. In some cases not much more than half that. They are heavy and need a lot of energy to move. A Tesla Model S weighs 4650 lbs and has a range of a couple of hundred miles. A semi truck can weigh up to 80,000 lbs. That is a lot of weight to get rolling and a lot to pull up a grade. Semis spend a large part of their time driving at highw…
As for power density... going to a turbine engine feeding electric power systems is a sufficiently big win compared to straight-up diesel ICE. There's a big industry group looking into this:
http://corporate.walmart.com/_news_/news-archive/2014/03/26/...
Re: Master Plan, Part Deux
#177My points of skepticism: 1. Semis . A typical long haul semi gets well under 10MPG. In some cases not much more than half that. They are heavy and need a lot of energy to move. A Tesla Model S weighs 4650 lbs and has a range of a couple of hundred miles. A semi truck can weigh up to 80,000 lbs. That is a lot of weight to get rolling and a lot to pull up a grade. Semis spend a large part of their time driving at highw…
Agree with part 3. I fail to see why anyone who is willing to pay a premium for a Tesla car would be willing to let random strangers into their (new) car, unless the benefits far outweighs the cost/risks, but in that case, if the other car user has to pay a high price to use a Tesla for his commute, why not just use Uber instead? This can probably only work when the car is old such that its value has already been dep…
Not for people that can afford to own a Tesla and have it sit idle waiting for them 90% of the time (like all of today's owners).
Re: Master Plan, Part Deux
#178> "When used correctly, [partially autonomous driving] is already significantly safer than a person driving by themselves" If you're an American, you're twice as likely to die with a steering wheel in your hands as you are to die at the hands of a murderer. Human-driven vehicle deaths cause grave second-order suffering for families and friends - and hurt the economy. A shift to technologies safer than human-driven ca…
Re: Master Plan, Part Deux
#179Earlier quoted context omitted.
Also millions of miles of fleet learning a day, which Uber doesn't have, since they don't own the cars. Self-driving cars is a supervised learning problem, and he who has the data wins
There's also the matter of that laser scanner on some cars - usually costing more than the car...
Complete LIDAR units are already available for under $500[1]. There are other, cheaper sensors which aren't as good as full LIDAR but are available for under $100[2].
There are plenty of other options hitting the market soon too[3]
[1] http://www.teraranger.com/products/teraranger-lidar/
[2] https://www.pulsedlight3d.com/
[3] https://www.washingtonpost.com/news/innovations/wp/2015/12/0...
Re: Master Plan, Part Deux
#180> We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day. This seems very significant for Tesla vs competitors. Yes Google has a strong technology lead today, but how long will that last when Tesla is collecting more miles of data every day than Google has collected in…
How much data has Google and Apple collected using LIDAR and such on their mapping/street view vehicles?