Putting the AI in the Automotive Industry
Advances in digitalization, artiﬁcial intelligence,
machine learning, the internet of things (IoT),
sensor and camera technology are driving
dramatic change and improvements in
automotive technology. And these advances
are creating a ripple eect throughout the
entire automotive ecosystem.
Accident avoidance technology, or advanced
driver assistance systems (ADAS), are
beginning to gain good market traction, and
the auto industry is beginning to explore what
the implications of these are to auto sales, auto
care, auto repair, and auto replacement. Layer
in car sharing, and autonomous vehicles, and
it’s clear that the traditional auto ownership
model will change.
In 2017 Crash Course we explored market
dynamics through the context of an
automotive claim. With data and technology
driving change into so many aspects of our
lives, this year we will instead look through
the lens of the full auto ownership life
cycle – from auto shopping to purchase
through vehicle end of life, hoping to provide
some visibility into how these will change in
We’ll begin with the ‘Buy’ decision, exploring
why consumers buy vehicles, how they
decide which vehicle to buy, how they pay
for the vehicle, how they choose to insure
the vehicle, and how auto industry sales have
fared to date and what they may look like
in the future. Today’s vehicles have a natural
depreciation and deterioration cycle that
ultimately leads to the need for replacement.
Will the replacement of the future involve a
new vehicle purchase or something like an
autonomous vehicle subscription?
When the vehicle is acquired, we move into
the ‘Drive’ phase. In this section, we’ll explore
how driving has changed and how it may
change in the future. Will overall miles driven
continue to grow? Who actually will be doing
the driving? How might insurance change
when we consider the change in who is
control of the vehicle? With the auto industry
reeling from numerous years of signiﬁcant
vehicle recalls, how does more technology
that now controls the vehicle itself challenge
automakers in the future?
With the focus on crash avoidance and,
ultimately, vehicle autonomy, will auto
‘Crash’(es) and fatalities fall? And how
quickly? Early beneﬁts of ADAS have shown
marked improvement to bodily injury claim
frequency and costs. How might this change
insurance casualty claims? Is the ‘Road
to Zero’ a possibility, and when might we
When the vehicle does crash, and needs
‘Repair’, what further changes can we expect
in terms of the types of tooling, training, and
investment required of collision repairers? How
will repair frequency and costs change? With
OEM’s taking a more active role in providing
information on how the vehicle should be
repaired, how will that change our industry?
And ﬁnally, if the vehicle cannot be repaired,
what does that mean to the consumer and
her decision to jump back to the ‘Buy’ start of
the overall cycle?
Finally, data and intelligence will continue to
drive market developments in each of these
areas. This year our guest authors will provide
some thoughts as to how digitalization, data,
analytics, and artiﬁcial intelligence (AI) are
bringing change to our industry today.
“It’s Happening” was our 2017 theme for Crash
Course – and it’s safe to say that our industry
endured a good deal of transformation
throughout the year. With the promise
of rapidly advancing technology such as
AI, this year we’ll provide our viewpoint
“Putting the AI in the Automotive Industry.”
So, sit back, and we hope you enjoy this year’s
issue of CCC’s Crash Course!
Are Buying Today
In 2017, over 90 million vehicles were sold
The United States continues to be
one of the single largest markets for vehicle
sales. In 2016, a record 17.55 million light
vehicles were sold in the U.S., beating the last
record set in 2000. In 2017, auto sales slowed
by 1.8 percent to 17.25 million; however, record
average new vehicle prices meant a majority
of automakers still considered it a very good
year (see Figure 1). Most analysts project
auto sales will slow to between 16.5 million
and 16.9 million in 2018, with less pent-up
demand, higher interest rates, and declining
used vehicle values driving sales down. At
the same time, continued growth in the U.S.
population, a strong economy and strong
employment, and consumer desire for new
auto features such as WiFi and advanced
driver assistance systems (ADAS), will help
bring customers back to the showroom, just
at a slower rate than the last three years.
Light truck sales achieved a new record –
64.5 percent of all new vehicle sales in 2017,
as car sales in 2017 fell 11.2 percent while light
truck sales grew 4.4 percent (see Figure 2).
The average new vehicle transaction price
rose 2 percent for the full year (versus 2.5
percent in 2015 and 2016), with December
2017’s transaction price of $36,113, setting
a new high, and largely driven by higher
light truck sales (see Figure 3).
trucks – and full-size pickups in particular-
continue to drive a great deal of the proﬁt for
automakers, particularly the U.S. automakers.
Proﬁt margins on pickup trucks typically
are well above 10 percent and can outpace
margins on luxury cars.
With an average
selling price of over $47,000 for full-size
pickups in November 2017 (with upgrades
that price can jump to as much as
$60,000), it can be argued that
pickups are the new
© 2018 CCC Information Services Inc. All Rights Reserved.
© 2018 CCC Information Services Inc. All Rights Reserved.
For example, Fiat-Chrysler dropped
numerous small and midsize passenger cars
from its lineup, to instead focus on Jeep
SUVs and Ram pickups.
And despite an
expected slowdown in auto sales, in the next
10 years an additional 25 million consumers
in the U.S. will move into the 35 to 44 age
bracket. LMC Automotive predicts many will
opt for bigger SUVs as they move to suburbs,
potentially driving up sales of midsize SUVs
by 16 percent between now and 2022, while
large SUVs may jump as much as 25 percent.
As auto sales slow in the coming years, sales
of these more proﬁtable vehicles will be key
as automakers are pressured to maintain
proﬁtability while investing billions in new
strategies for self-driving and
As the average MSRP of new vehicles has
grown, so too have concerns regarding
aordability. As of Q3 2017, there were over
$1.21 trillion in open automotive loans, with
an average loan term length of 69 months.
Easier credit allowed more buyers from the
subprime markets to enter the market again,
resulting in slightly higher delinquency rates
as the year progressed, particularly among
auto ﬁnance companies that have historically
originated and held more than 70 percent of
subprime auto loans.
Overall however, the
outstanding loan balance for the subprime
sector has remained fairly steady at about
24 percent of the overall since 2011.
while there was some concern that the
market might face an auto ﬁnance bubble,
many banks restructured their portfolios and
adjusted their auto ﬁnance exposure in 2017.
Transunion reported declining originations
each quarter between Q2 2016 and Q2 2017,
and the slowest growth in overall auto-
ﬁnance balances in Q3 2017 since Q3 2012.
0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 12,000,000 14,000,000 16,000,000 18,000,000 20,000,000
CY2005 CY2006 CY2007 CY2008 CY2009 CY2010 CY2011 CY2012 CY2013 CY2014 CY2015 CY2016 CY2017E
% CHANGE FROM PRIOR YEAR
AVG MSRP NEW VEHICLES SOLD
Avg MSRP % Chg from Prior Year
U.S. Light New Vehicle Sales in Millions (Figure 1)
Light-Truck Share of U.S. New Vehicle Sales (Figure 2)
NADA “Average Selling Price of New Vehicles Sold” (Figure 3)
Source: Automotive News
Source: Automotive News
标题: 关于自动加油机器人的研究与开发 摘要: 随着科技的不断发展，自动加油机器人已经成为了当前智能化油站的热门话题。这种机器人不仅能够提高加油效率，减少人力成本，而且还能保证加油过程的安全性。本文将对自动加油机器人的原理，技术特点，以及应用前景进行综合性的阐述。 关键词: 自动加油机器人，智能化，效率，安全性 背景 随着社会的不断发展，汽车行业也在不断壮大。而随着汽车数量的增加，加油站的需求也在不断增加。然而，传统的加油站加油方式存在很多问题，如人力成本高，安全隐患大等。因此，开发出一种自动加油机器人，以提高加油效率，减少人力成本，保证加油过程的安全性，成为了当前研究的热点。 原理 自动加油机器人通常是通过计算机视觉系统对汽车进行识别，然后控制机械臂对汽车进行加油。在加油过程中，机械臂通 过传感器监测加油数量和加油过程中的安全情况，以保证加油质量。同时，自动加油机器人还可以通过网络连接，实时监测加油站的油品库存情况，并进行自动补充
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