#ArtificialIntelligence and #AutonomousDriving; The
Brave New World of #Driving
Companies
Mentioned: Gopher Protocol (OTCQB: $GOPH), Tesla (NASDAQ: $TSLA), Intel (NASDAQ: $INTC), Alphabet
Inc (NASDAQ: $GOOG, NASDAQ: $GOOGL), STMicroelectronics (NYSE: $STM)
Point Roberts, WA – February
26, 2018 – Investorideas.com (www.investorideas.com), a global news source covering leading technology sectors
including Artificial Intelligence (AI)
reports on publicly traded companies in the self-driving car market and how they
are addressing consumer fears of a driverless future.
Companies mentioned
include: Gopher Protocol Inc. (OTCQB: GOPH), Tesla (NASDAQ:TSLA), Intel (NASDAQ:INTC), Alphabet Inc (NASDAQ:GOOG, NASDAQ:GOOGL) and STMicroelectronics (NYSE:STM),
When it comes to the
future of self-driving cars, Intel (NASDAQ:INTC) sums it up best: “The technology for self-driving cars is
accelerating quickly but our driverless future won’t go anywhere if people
don’t trust it.”
Brian Krzanich of Intel
said last year, “One of the big promises of artificial intelligence (AI) is our
driverless future. Nearly 1.3 million people die in road crashes worldwide
every year – an average 3,287 deaths a day1. Nearly 90 percent of
those collisions are caused by human error2.”
“Self-driving technology
can help prevent these errors by giving autonomous vehicles the capacity to
learn from the collective experience of millions of cars – avoiding the
mistakes of others and creating a safer driving environment.”
A smaller player in the AI sector currently
marketing a pet tracking device with AI technology, Gopher Protocol Inc. (OTCQB: GOPH),
last week reported new R&D efforts for its MESH Technology for the
self–driving car market.
According to the company, “New research
includes testing of its MESH network technology for use in autonomous driving
tracking and safety applications.”
Gopher’s core tracking technology is based
on Artificial Intelligence data in real-time and is currently implemented in
its pet tracking device, as previously announced.
Explaining the difference between their tracking
technology and competitive tracking technology, Gopher’s CTO said, “Current GPS technology relies on satellite
geometry, URE (User Range Error), atmospheric
conditions, signal blockages due to terrain and more. GPS technology, as a stand-alone
system cannot provide an exact pin-pointed location at all times. For example: ‘My Tesla is NOT being parked on 267 S.
Beverly, it’s actually a FULL block away,’ (User’s Testimonial). This bias will not occur utilizing Gopher’s technology.”
Gopher’s new research division, named
gNETCar, is focusing on autonomous car safety research using its proprietary
tracking technology which provides an exact pin-point, GEO location of the
object without relying on only GPS data. Gopher has tested the tracking
technology using its private, secured communication protocol and has successfully
performed safe, autonomous vehicle driving experiments.
A glimpse of Gopher technology can be seen in
its video release available on YouTube at
https://www.youtube.com/watch?v=YES2YB6L7Pg,
as previously disclosed in a press release dated 11/14/2017. (https://www.otcmarkets.com/stock/GOPH/news/Gopher-Protocol-Introducing-Gopher-Protocols-dDrone-Technology-Utilizing-Artificial-Intelligence-AI?id=175201)
Dr. Danny Rittman, Gopher’s CTO explained,
“Currently we are in the process of defining, adapting and testing of our
advanced MESH network architecture which is to be implemented within autonomous
driving systems. Our MESH network includes AI and deep learning methodology
which we believe will allow cars to rapidly and adaptably scale to safely
handle situations as conditions change. Using Gopher’s MESH technology, we
believe it will potentially enable autonomous vehicles to communicate, learn
and share vital safety details; among them road conditions, obstacles, weather
and other safety information.“
Dr. Rittman went on to say, “With Gopher’s
MESH technology, we expect data to be shared amongst all vehicles that are
participating in the network for the most efficient, real-time, decision making.”
Another company, STMicroelectronics
(NYSE:STM), a global semiconductor leader serving customers across the
spectrum of electronics applications, and AdaSky, an Israeli-based start-up
bringing far infrared (FIR) technology to the automotive market to enable
vehicles of tomorrow to see further and better, just announced a collaboration
in which AdaSky's FIR thermal camera embeds custom silicon co-designed with and
manufactured by ST in its proprietary 28nm FD-SOI[1] manufacturing technology.
The complete sensing solution from AdaSky, called Viper, aims to enable
autonomous vehicles to see and understand the roads and their surroundings in
any condition.
From the press
release: ‘Having complete
sight and perception of the roadway, other vehicles, roadside infrastructure,
and obstacles, especially in challenging lighting or weather conditions, is
fundamental to the safe operation of next-generation autonomous cars. To
achieve 24/7 autonomous driving, vehicles will rely on the fusion of
complementary information streams provided by different sensors. No sensor or
camera in operation today can capture all of the information on its own and
each has challenges in certain lighting or weather conditions. Passive infrared
vision, like that in AdaSky's Viper, when used in a fusion solution, can help
close the gaps to provide accurate sight and perception without fail in dynamic
lighting conditions, in direct sunlight, in the face of oncoming headlights,
and in harsh weather.
The new camera uses an FIR
micro-bolometer sensor to detect the temperature of an object. In an ADAS
solution, Viper uses proprietary algorithms based on Convolutional Neural
Networks to classify obstacles and show them in a cockpit display to give the
driver an early warning. This warning comes several seconds earlier than it
would when using a conventional sensor in the visible wavelength and is even
faster than what is possible with the human eye.
With the help of ST, we
have created the first high-resolution thermal camera for autonomous vehicles
with minimal size, weight, and power consumption--and no moving parts. ST's
access to, and expertise in, ultra-low-power design, IP that is fully qualified
for automotive applications, and 28nm FD-SOI technology have been vital to
meeting the severe power constraints that would challenge our sensors'
performance," said Amotz Kats, Vice President Hardware, AdaSky.
"We're in a position to deliver a breakthrough solution to revolutionize
and disrupt the autonomous vehicle market because of ST's mastery of automotive
qualification and its strong manufacturing supply chain, which grants
reliability, long-term support, and business continuity to car makers
throughout the whole life of their production."
AdaSky has developed a
powerful infrared-based vision sensor and valuable algorithms that add a
complementary and incredibly valuable additional layer of information to the
existing sensors that will soon be driving autonomous vehicles," said
Fabio Marchio, Group Vice President and General Manager, Automotive Digital
Division, STMicroelectronics. "By addressing the challenging and difficult
driving conditions that remain one of the largest concerns to true, always-on,
24/7 autonomous driving, AdaSky is enabling these driverless systems."
Groundbreaker and leading
innovator in the auto sector, Tesla (NASDAQ: TSLA) says that: “All Tesla vehicles produced in our factory,
including Model 3, have the hardware needed for full self-driving capability at
a safety level substantially greater than that of a human driver. Eight
surround cameras provide 360 degrees of visibility around the car at up to 250
meters of range. Twelve updated ultrasonic sensors complement this vision,
allowing for detection of both hard and soft objects at nearly twice the
distance of the prior system. A forward-facing radar with enhanced processing
provides additional data about the world on a redundant wavelength that is able
to see through heavy rain, fog, dust and even the car ahead.”
Elon Musk has ambitious
plans in 2018 for his self-driving technology, with plans for a Level 4 Tesla
that will drive from LA to New York without any human participation.
Alphabet’s (NASDAQ:GOOG, NASDAQ:GOOGL) investment and project in self-driving cars started in 2009, now known as Waymo https://waymo.com/
says, “We drive more than 25,000 autonomous
miles each week, largely on complex city streets. That’s on top of 1 billion
simulated miles we drove just in 2016.”
For the fearless consumers
and early adopters of tech, Waymo invites you to ride the brave new roads of
the future and ” Help shape the future of self-driving cars. Join our early
rider program-a public trial of Waymo’s self-driving vehicles.”
According to Variant
Market Research, “The Global Self-Driving Car Market is expected to reach $20
billion by 2024. Major companies operating in this market are Tesla Motors,
Inc., Audi AG, Ford Motor Company, Toyota Motor Corporation, Google Inc., Volvo
Group, Nissan Motor Company, Baidu Inc., Apple Inc., Daimler AG, Dutch
Automated Vehicle Initiative (DAVI), BMW AG and Volkswagen among others.”*
For investors following
the sector, Investorideas.com will be releasing a new stock directory in the
following week with a comprehensive list of companies in the sector.
Investorideas.com currently features a list of publicly traded AI stocks for
investors following artificial intelligence and robotics. http://www.investorideas.com/TSS/stock_list.asp#Robotics
Gopher
Protocol, Inc. (OTCQB: GOPH) is a featured tech stock on Investorideas.com
Intel info sources:
2 https://newsroom.intel.com/editorials/waymo-intel-announce-collaboration-driverless-car-technology/
*Variant research: https://www.variantmarketresearch.com/report-categories/automotive/self-driving-car-market
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