An American government organization wanting, apparently by
its own choice, to regulate less! That’s
the subject of “NHTSA seeks to remove old obstacles to clear the way for
self-driving cars” (Eric Brackett, Yahoo
News, October 28th).
Yes
indeed, the National Highway Traffic Safety Administration “was seeking input
on how it could remove regulations that are slowing down the production and
deployment of self-driving cars.” These
rules haven’t stopped much so far, but if unchanged they will soon. It’s time for discussion, negotiation, and
official recognition that the nature of vehicles is changing, and hats off to
this rare federal agency for seeing that.
Meanwhile, in the same source and on the same date, per author Trevor
Mogg, “Waymo tootles into Detroit with its self-driving car project,” where, at
its proving ground actually in Novi, it will learn more about driverless ice
and snow coping.
It’s better for any vehicle to make its mistakes in
cyberspace instead of in bricks-and-mortarland.
On October 29th in The
New York Times’s “What Virtual Reality Can Teach a Driverless Car,” Cade
Metz recapped the state of this art, including how much faster such “learning”
can be at computer speeds, the “complete control” researchers can use, and the
problems of checking up on what machines are ready to implement. The best use for this tool seems to be along with
human perceptions and direction, especially in developing subsystems, such as
determining braking speed and intensity, where theory may be insufficient.
There are many reasons why first-world cities will adopt autonomous
vehicles the earliest. One is how the
humans drive there. In Wired.com’s “Prepping Self-Driving Cars for
the World’s Most Chaotic Cities,” also on October 29th, Kaveh
Waddell contrasted the most disordered American cities, properly using Boston
as an example, with those in “developing countries” with “huge, anarchic
intersections” and “drivers who have little to zero respect for lanes, traffic
signals, warning signs, and speed limits.”
There is a gap between programming the possibility of vehicles going
through red lights a second or two late and dealing with those disregarding all laws. There is also a difference between stricter
enforcement of traffic regulations all drivers understand and the need to
create order where there is none. This
problem will keep much of the world’s autonomous vehicle saturation and even
significant introduction well behind.
China presents its own problems, such as the previous
article’s note that different regions there have sharply differing traffic
signs and customs. Yet its own
driverless company is at least trying to forge ahead. John Fingas’s Yahoo Finance “Baidu teams with ride-hailing service to fast track
self-driving cars,” still from October 29th, told us how that firm
is working with national ride-hailing company Shouqi and its extensive mapping
knowledge to offer self-driving vehicles themselves along with trips in them. In the United States, “Toyota will test
autonomous cars at California’s GoMentum station” (Darrell Etherington, also Yahoo Finance, October 30th),
that location a proving ground in Walnut Creek.
Related activity from the same source on this paragraph’s third
continent is planned for December 4th and 5th, featuring
the CEO of one European startup. To
learn more about what’s planned for this conference, see “The race for the
autonomous car is on, and hear Five AI attack plan at Disrupt Berlin,” by Mike
Butcher, also on October 30th.
The farthest-reaching October 30th driverless
vehicle story, though, came from Wired. In “How to Design Streets for Humans – And
Self-Driving Cars,” Aarian Marshall took an urban-planning view on how cities
might change once human vehicle operators go away, using a National Association
of City Transportation Officials’ “50-page blueprint” – for example, with thinner
travel lanes, “tiny parks” instead of parking meters, crosswalk removal, paved
areas used for both rush-hour travel lanes and delivery vans, and “at night,
street space next to bars could be dedicated to picking up and dropping off
carousers from driverless taxicabs.” All
are reasonable possibilities.
Consumer Reports,
a source of hitherto unbridled skepticism about self-driving technology, looked
“Inside Waymo’s Self-Driving Car Castle” (October 31), and found “a mock
community” with that company’s employees, termed ““Fauxes,” who ride bikes,
jaywalk and drive cars erratically in a bid to get the self-driving software to
understand how to drive in the real world.”
The article described excellent results coping with such things as “a
Faux with car trouble… walking around a disabled vehicle holding his head,
talking on a cell phone” and “a group of four Fauxes pretend(ing) to be a
sloppy moving crew,” who “spill boxes out onto the road in front of a Waymo
test car.” This work is one of the exact
things on which driverless vehicle consortia need to focus, and their ability
to deal with these problems, already, should ease concerns of Consumer Reports readers and others not
believing they can do that. Related,
“Waymo’s CEO says self-driving cars are ‘really close’ to being ready for the
road – but plenty of challenges remain” (Troy Wolverton, Yahoo Finance, also October 31st.) This company leader, John Krafcik, talked
forthrightly with reporters about its strengths and current weaknesses, the
latter including a self-driving vehicle, that if faced with “a moving van that
was double-parked,” might never move without human intervention. On the other Halloween-published issue about
that company, “Waymo’s self-driving car challenge: Making it easier to pick up passengers” in CNBC, the solution seems simple: Ask a taxi driver! Cabdrivers become experts at judging where
their customers will get into and out of their vehicles, and most if not all of
that thinking can be quantified and programmed.
We end Installment 7 with a famous author and “avowed car
buff” who would do well to read this blog.
When “Malcolm Gladwell looks at the future of self-driving cars” (CBS News, once more October 31st),
he apparently sees things that have been in the press for months if not
years: that “a host of issues must be
resolved before self-driving cars hit the streets en masse,” the need for “a
social calculation” when deciding what to collide with, the hacking problem,
and losing “the pleasure that many people get from driving.” These Gladwell might be publishing now, if he
had just released a book with content put to bed six months or more ago. Yet developments in this field are too rapid
for that; a book on the subject, even if researched and written impeccably,
would be obsolete on release.
Accordingly, let’s hope that Gladwell doesn’t write one soon.
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