M. Issac,
Jume 21, "At a
Chicago hotel
on Tuesday,
two venture
capitalists
presented Mr.
Kalanick with
a list of
demands,
including his
resignation by
the end of the
day..." Read
more Hmmmm... Those with the
money, call
the shots.
Money talks,
Brashness
walks. Always
been that
way. Alain
T. Higgins,
June 20, "Cars
are going to
undergo a lot
of changes in
the coming
years. One of
the biggest:
You probably
won’t own one.
Thanks to ride
sharing and
the looming
introduction
of
self-driving
vehicles, the
entire model
of car
ownership is
being
upended—and
very soon may
not look
anything like
it has for the
past
century..." Read
more Hmmmm... WSJ weighing in
without
anything new.
I wish that
they would not
confuse
self-driving
(which will
reinforce the
current car
ownership
model) with
driverless,
(which enables
affordable
mobility as a
service and
severely
deminishes car
ownership).
Just as some
people still
own horses,
some people
will still own
their own
car. They
just wont use
it much..
Alain
F. lambert,
June 23,
"After several
changes in the
Autopilot
team’s
leadership
over the past
few months,
Tesla ended up
hiring
one of the
leading AI and
computer
vision
researchers
this week.
At the same
time however,
we learn that
several of the
team’s top
computer
vision experts
have left the
company over
the past few
weeks. Read
more Hmmmm...All of this is VERY
competitive
with very
limited
supply. Also
see Tesla
Autopilot:
early test
shows
improvements
w/ latest
‘silky smooth’
control
algorithm and
cyclist
detection Alain
N. Lomas,
June 17,
Thirty five
years ago
having a PhD
in computer
vision was
considered the
height of
unfashion, as
artificial
intelligence
languished at
the bottom of
the trough of
disillusionment.
Back then it
could take a
day for a
computer
vision
algorithm to
process a
single image.
How times
change...." Read
more Hmmmm... Yup!, except..."Blake sees cracking
unsupervised
learning as
the next big
challenge for
AI researchers
to grapple
with...." I disagree. Unsupervised learning is an oxymoron.
There can be
no learning
unless there
is an arbiter
that
states/reinforces
truth/untruths, right/wrong, good/bad, ..."Labeled data" very valuable. "un-labeled
data"
is
worthless
until it gets
labeled
correctly.
Incorrectly
labeled data
is worse than
worthless.
Seems all very
simple and
straightforward
to me. Alain
http://orfe.princeton.edu/~alaink/SmartDrivingCars/Papers/
D. Hall,
Apr 17, "In
the race to
the autonomous
revolution,
developers
have realized
there aren’t
enough hours
in a day to
clock the
real-world
miles needed
to teach cars
how to drive
themselves.
Which is why
Grand Theft
Auto V is in
the mix.
The
blockbuster
video game is
one of the
simulation
platforms
researchers
and engineers
increasingly
rely on to
test and train
the machines
being primed
to take
control of the
family sedan.
Companies from
Ford Motor Co.
to Alphabet
Inc.’s Waymo
may boast
about putting
no-hands
models on the
market in
three years,
but there’s a
lot still to
learn about
drilling
algorithms in
how to respond
when, say, a
mattress falls
off a truck on
the
freeway....The
idea isn’t
that the
highways and
byways of the
fictional city
of Los Santos
would ever be
a substitute
for bona fide
asphalt. But
the game “is
the richest
virtual
environment
that we could
extract data
from,”
said Alain
Kornhauser..."
Read
More Hmmmm... Well...we have a slightly different
view of
history wrt to
GTA5. The
'Alain view'
is that Chenyi
Chen*16
independently
started
investigating
the use of
virtual
environments
as a source of
Image -
Affordances
data sets to
use as the
training sets
in a 'Direct
Perception'
approach to
creating a
self-driving
algorithm.
Images of the
road ahead are
converted into
the
instantaneous
geometry that
is implied by
those image.
An optimal
controller
then
determines the
the steering,
brake and
throttle
values to best
drive the
car. The
critical
element in
that process
are the Image - Affordances data
sets which
need to be
pristine.
Chenyi
demonstrated
in his PhD
dissertation
, summarized
in the ICCV2015
paper,
that by using
the pristine
Image -
Affordances
data sets from
an open-source
game TORCS
one could have
a virtual car
drive a
virtual race
course without
crashing.
More
importantly,
when tested on
images from
real driving
situations,
the computed
affordances
were close to
correct.
This encouraged us to look for more appropriate
virtual
environments.
For many
reasons,
including:
"wouldn't it
be amazing if
'Grand Theft
Auto 5'
actually
generated some
positive
'redeeming
social value'
by
contributing
to the
development of
algorithms
that actually
made cars
safer; saving
grief,
injuries and
lives".
Consequently,
in the Fall of
2015, Artur
Filipowicz'17
began to
investigate
using GTA5 to
train
Convolutional
Neural
Networks to
perform some
of the Direct
Perception
aspects of
automated
driving. With
Jeremiah Liu,
he continued
his efforts in
this direction
last summer
which were presented
at TRB in
January.
Yesterday, he
and Nyan
Bhat'17
turned in
their Senior
Theses focused
on this topic.
A. Kornhauser, Jan 14, "Orf467F16 Final Project Symposium quantifying implications of such a Nation-wide mobility system on Average Vehicle Occupancy (AVO), energy, environment and congestion, including estimates of fleet size, needed empty vehicle repositioning, and ridership implications on existing rail transit systems (west, east, NYC) and Amtrak of a system that would efficiently and effectively perform their '1st mile'/'last-mile' mobility needs. Read more Hmmm... Now linked are 1st Drafts of the chapters and the powerPoint summaries of these elements. Final Report should be available by early February. The major finding is, nationwide there exists sufficient casual ridesharing potential that a well--managed Nationwide Fleet of about 30M aTaxis (in conjunction with the existing air, Amtrak and Urban fixed-rail systems) could serve the vehicular mobility needs of the whole nation with VMT 40% less than today's automobiles while providing a Level-of-Service (LoS) largely equivalent and in many ways superior than is delivered by the personal automobile today. Also interesting are the findings as to the substantial increased patronage opportunities available to Amtrak and each of the fixed rail transit systems around the country because the aTaxis solve the '1st and last mile' problem. While all of this is extremely good news, the challenging news is that since all of these fixed rail systems currently lose money on each passenger served, the additional patronage would likely mean that they'll lose even more money in the future. :-( Alain
September
2016,
"Executive
Summary...For
DOT, the
excitement
around highly
automated
vehicles
(HAVs) starts
with safety.
(p5)
...The
development of
advanced
automated
vehicle safety
technologies,
including
fully
self-driving
cars, may
prove to be
the greatest
personal
transportation
revolution
since the
popularization
of the
personal
automobile
nearly a
century ago.
(p5)
...The benefits don’t stop with safety. Innovations have the potential to transform personal mobility and open doors to people and communities. (p5)
...The remarkable speed with which increasingly complex HAVs are evolving challenges DOT to take new approaches that ensure these technologies are safely introduced (i.e., do not introduce significant new safety risks), provide safety benefits today, and achieve their full safety potential in the future. (p6) Hmmm...Fantastic statements and I appreciate that the fundamental basis and motivator is SAFETY. We all have recognized safety as a necessary condition that must be satisfied if this technology is to be successful. (unfortunately it is not a sufficient condition, (in a pure math context)). This policy statement appropriately reaffirms this necessary condition. Alain
"...we
divide the
task of
facilitating
the safe
introduction
and deployment
(...defines
“deployment”
as the
operation of
an HAV by
members of the
public who are
not the
employees or
agents of the
designer,
developer, or
manufacturer
of that HAV.)
of HAVs into
four
sections:(p6)
Hmmm...Perfect!
Alain
"...2.
Model State
Policy (p7)
The Model
State Policy
confirms that
States retain
their
traditional
responsibilities...but... The shared
objective is
to ensure the
establishment
of a
consistent
national
framework
rather than a
patchwork of
incompatible
laws..." Hmmm... Well done. Alain
"...3. NHTSA Current Regulatory Tools (p7) ... This document provides instructions, practical guidance, and assistance to entities seeking to employ those tools. Furthermore, NHTSA has streamlined its review process and is committing to..." Hmmm... Excellent. Alain
"...4. New Tools and Authorities (p7)...The speed with which HAVs are advancing, combined with the complexity and novelty of these innovations, threatens to outpace the Agency’s conventional regulatory processes and capabilities. This challenge requires DOT to examine whether the way DOT has addressed safety for the last 50 years should be expanded to realize the safety potential of automated vehicles over the next 50 years. Therefore, this section identifies potential new tools, authorities and regulatory structures that could aid the safe and appropriately expeditious deployment of new technologies by enabling the Agency to be more nimble and flexible (p8)..." Hmmm... Yes. Alain
"...I.
Vehicle
Performance
Guidance for
Automated
Vehicles
(p11) A.
Guidance: if a
vehicle is
compliant
within the
existing FMVSS
regulatory
framework and
maintains a
conventional
vehicle
design, there
is currently
no specific
federal legal
barrier to an
HAV being
offered for
sale.(footnote
7) However,
manufacturers
and other
entities
designing new
automated
vehicle
systems
are subject to
NHTSA’s
defects,
recall and
enforcement
authority.
(footnote 8)
.
and the "15
Cross-cutting
Areas of
Guidance"
p17)
In sum this is a very good document and displays just
how far DoT
policy has
come from
promoting v2v,
DSRC and
centralized
control,
"connected",
focus to
creating an
environment
focused on
individual
vehicles that
responsibly
take care of
themselves.
Kudos to
Secretary Foxx
for this 180
degree policy
turn focused
on safety.
Once done
correctly, the
HAV will yield
the early
safety
benefits that
will stimulate
continued
improvements
that, in turn,
will yield the
great
mobility,
environmental
and
quality-of-life
benefits
afforded by
driverless
mobility.
What are not addressed are commercial trucking and buses/mass transit. NHTSA is auto focused, so maybe FMCSA is preparing similar guidelines. FTA (Federal Transit Administration) seems nowhere in sight. Alain
Hmmm...What we know now (and don't know):