Connected Cars have already been proven to be hackable over
the Summer of 2015 prior to DefCon and Blackhat 2015 as pointed out in my blog article
entitled “Security
Researcher hack a 2014 Jeep Cherokee - How to remotely hack an Internet
Connected Vehicle as Remote Vehicle Homicide possible”.
Now it appears they have another problem; indecisive track
standing cyclists as reported in the article “How
a track stand can confuse Google’s self-driving car”, published August 29,
2015 By David Nield, Digitaltrends.
Apparently a Google self-driving Car in Austin, Texas, where
trials have just started can be easily confused by track-standing cyclists. A
track stand is where a cyclists balances when stopping at an intersection of a
stop light.
In order to achieve this, they constantly adjust and
reposition themselves in order to maintain their balance. The cyclist in
question has an interesting take on the situation, quote: “We repeated this
little dance for about two full minutes and the car never made it past the middle
of the intersection. The two guys inside were laughing and punching stuff into
a laptop, I guess trying to modify some code to ‘teach’ the car something about
how to deal with the situation”.
This constant yet imperceptible motion would be interpreted
by the regular motorists who's sufficiently experienced as someone on a bicycle
just stopping. But due to the sensitivity of Google's LIDAR, Radar and Cameras
it detects this imperceptible movement in the track standing cyclist as motion
and an attempt to move off.
Consequently when the test vehicles encountered this
situation on the roads of Austin, Texas, the vehicle froze, confused as to what
to do next, as the cyclists seemed to be in a constant state of either stopping
or getting ready to move off.
This left the Google Engineers having top reprogram the
subroutines of the Self-Driving vehicle in order for it to interpret the
situation.
Google
Self-Driving vehicle and Track Stand Cyclists - Why Speedy in I, Robot obeyed
Second Law in Asimov Rules Three Laws of Robotics
The situation which reminds me of the Story “Runaround” in the
book “I, Robot" by Isaac Asimov, where as similar situation occurred with
a malfunctioning robot named Speedy on the Planet Mercury.
In that situation, the robot Speedy has been sent by astronauts
Powell and Donovan, most likely Jamaican based on their names, to retrieve some
selenium from a pool on the Planet Mercury in order to repair some photo-cell
banks. However, they soon discover Speedy running around in an oscillating
circle around a pool of liquid selenium.
When the astronauts Powell and Donovan, query the robot
Speedy, he responds in a manner that suggests that he's drunk. This is where
the problem is similar to the one occurring with the Google Self-driving car in
Austin-Texas.
The robot Speedy is a highly valuable yet very expensive
robot (again the parallel to the Google Self-Driving Cars!) whose Three Asimov
Laws have been modified namely the Third Law, which has been strengthened so
that he'll protect himself.
As a quick review, the Three Laws of Robotics also known as
the Asimov's
Three Laws, as quoted from the “Handbook of Robotics, 56th Edition,
2058 A.D.”, are:
1. A
robot may not injure a human being or, through inaction, allow a human being to
come to harm.
2. A
robot must obey the orders given it by human beings except where such orders
would conflict with the First Law.
3. A
robot must protect its own existence as long as such protection does not
conflict with the First or Second Laws.
The scientists at US Robotics, the company that astronauts Powell
and Donovan work, (clearly Jamaicans!) had modified the Third Law so that it
was strengthened, making it avoid itself coming to harm. Because of this, as
Speedy approached the Selenium pool, he detected his own danger (Third Law) and
started to move away.
But he had to carry out his order to retrieve the Selenium
(Second Law). This resulted in a conflict within his positronic brain, resulting
in him oscillating closer in order to carry out the order (Second Law) or
running away to preserve himself (Third Law) and prevent harm coming to his
structure.
This flooded his positronic brain with a huge amount of
looped data in an iterative feedback loop, resulting in him acting in a drunken
manner. To overcome the problem, Donovan had to put himself in harm’s way by
jumping into the Selenium Pool, forcing Speedy to obey the First Law and run to
rescue him.
Google Engineers
and the Three Laws of Robotics - Why Cyclists are safer and Driving will be
made illegal
This is the same exact situation with the Google
Self-Driving Car.
As a point of note, the Google Self-Driving Car is much
safer for cyclists than a human driver, who would throw caution to the winds
and probably move ahead, causing an accident as noted in the article “Google's
self-driving cars might be too good at braking for cyclists”, published
August 28, 2015 by Jacob Kastrenakes, The
Verge.
To quote the cyclist: “I felt safer dealing with a
self-driving car than a human-operated one". Hopefully to, in the future,
when self-driving cars become the norm, driving your vehicle annually will be
outlawed as argued in the article “Driving
Your Car Will Soon Be Illegal”, published Aug 11, 2015 by Jay Samit, Techcrunch.
Google Engineers will have to basically have to reprogram
the equivalent of the Third Law in the Self-Driving Vehicles to interpret that
there is no danger to itself and follow the equivalent of the Second Law in its
subroutines to obey the input from its sensors to move forward and ignore track
standing cyclists!!!
Granted, the technology is far from perfect, as any self-Driving
car that Google makers has to able to drive on regular roads such as those in
Third world Countries as argued in my blog article
entitled “@Google’s
Self-Driving All-Electric Vehicles in June 2015 – Autonomous Vehicles reduce
Road Accidents, Parking and make Ride Sharing the Norm”.
No doubt all in a day's work for Google as pointed out in
the article “Google
claims big progress in self-driving cars' street smarts”, published April
28, 2014 by Stephen Shankland, CNET News as
they strive to make their Self-Driving vehicles the next standard on the roads,
thereby reducing road fatalities!!
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