BTW, a bit of a plug. I'm running a nonprofit/public dataset project aimed at increasing safety of autonomous vehicles. If anyone here wants to contribute (with suggestions / pull requests / following it on twitter / etc) - you'd be most welcome. Its: https://www.safe-av.org/ . I'm just starting it/trying it out - simple feedback or following the twitter handle would already be helpful.
[1] https://arstechnica.com/cars/2018/04/tesla-autopilot-crisis-...
A sponsored article?
"WARNING
"When the adaptive cruise control is following another vehicle at speeds in excess ofca 30 km/h (20 mph) and the target is changed from a moving vehicle to a stationary vehicle, the adaptive cruise control will ignore the stationary vehicle and instead select the stored speed.
"The driver must then intervene him/herself and brake."
One of the most difficult things to do in a race, is to go fast/drive at your best the moment the flag goes green; and here it appears to me that we have people who don't like to drive, so therefore they likely aren't very good at it, and suddenly they are faced with a life and death crisis in which they NOW have to save their life by starting to drive the car when they are not even warmed up and they have very little room for error... I mean do the math.
Ultimately what you’re keying into is skill and interest - most people aren’t very skilled at driving and they don’t really care to be.
Not sure why you think so. If this is correct, there should be many other equivalent or better campaigns currently running at the same scale, right?
On the contrary, I imagine that data is a very significant limiting factor in this field.
Both data and computation are hard problems. AFAIK Tesla should still be leading in the former category by virtue of the number of its data collection devices. Crucially, they are collecting training data (real world human input) with which they will be able to train and test models.
Note, I am not saying that Tesla's current models are good, or that they will easily improve them. Only that you are too dismissive of the potential advantage that Tesla's data affords them.
I’m pretty sure those outnumber Tesla.
edit yes, personally I'm very impressed by the size of the campaign. It is just that again, there is a spectrum of difficulty between running a campaign even of this size and running it right, in a way that is actually useful to building a product. And still, in my opinion, building an autonomous vehicle is much harder in comparison, to running a campaign of that size in a right way.
They just ordered some 30,000-ish cars, so it would seem they're entering the mass-production phase.
Source: used to work there
[1] https://www.cnbc.com/2018/02/08/a-tesla-self-driving-blind-s...
Source: Watched a presentation on the computational aspects recently.
They built runways and carved wooden headphones like they saw the aviators wearing.
Here's a summary from Wikipedia:
With the end of the war, the military abandoned the airbases and stopped dropping cargo. In response, charismatic individuals developed cults among remote Melanesian populations that promised to bestow on their followers deliveries of food, arms, Jeeps, etc. The cult leaders explained that the cargo would be gifts from their own ancestors, or other sources, as had occurred with the outsider armies. In attempts to get cargo to fall by parachute or land in planes or ships again, islanders imitated the same practices they had seen the soldiers, sailors, and airmen use. Cult behaviors usually involved mimicking the day-to-day activities and dress styles of US soldiers, such as performing parade ground drills with wooden or salvaged rifles.[14] The islanders carved headphones from wood and wore them while sitting in fabricated control towers. They waved the landing signals while standing on the runways. They lit signal fires and torches to light up runways and lighthouses.