Should Tata Motors go for Autonomous cars?

Autonomous Cars
Should Tata Motors be Worried?
8/29/2016 1
Presented by:
Arun T M
Manzoor Ul Akram
Shaili Singh
FPM03002
FPM03005
FPM03008

Cars that drive themselves?
Are they viable in India and other emerging markets?
But first, a little bit of history…
8/29/2016 2

Autonomous Timeline
First Autonomous Car
First truly autonomous car unveiled
by S. Tsugawa at Japan's Tsukuba
Mechanical Engineering Laboratory
EUREKA Prometheus
The European Commission funds
the €800 million EUREKA
Prometheus Project on
autonomous vehicles
Ernest Dickmanns’ vision-guided
Mercedes-Benz van achieves 39
mph on streets without traffic
US Department of Defense funds
the DARPA Autonomous Land
Vehicles (ALV) project
39 MPH on street without traffic
Dickmanns / Daimler-Benz
vehicles, VaMP and Vita-2,
drive more than 620 miles in
Paris
1994
1977
1980s
1987
1977
Although it started in 1920!
8/29/2016 3

Carnegie Mellon University
Carnegie Mellon University
Navlab project ("No Hands
Across America”) achieves
98.2% semi-autonomous
driving over 3,100 miles
Alberto Broggi's ARGO Project
achieves 94% fully
autonomous driving on a
1,200 mile journey across
Northern Italy
ARGO Project
DARPA Urban Challenge focuses on 60-
mile urban environment, Carnegie
Mellon's team takes first place
Google starts their Driverless Car
program using a mix of Google Maps
data, radars and LIDAR
2007 to 2010
2004 t0 2005
DARPA starts long distance
competitions; In 2005 $2
million prize awarded to
Stanford University
1995
1996
2004 t0 2005
2007 to 2010
8/29/2016 4

Long Way To Go!
Nissan
Nissan announced its plans to
launch several driverless cars
by 2020
Navia shuttle became the first
self-driving vehicle to be
available for commercial sale
Google announced plans to
unveil 100 autonomous car
prototypes built from scratch
insideGoogle's secret X lab
In October 2014 Tesla
Motors announced its first
version of AutoPilot
Induct Technology
Other players entering
Delphi Automotive became
the first automated vehicle to
complete a coast-to-coast
journey across North America
Volvo announced plans to
deploy 100 XC90 self-driving
cars to test them in everyday
driving conditions in China in
2017, etc
2013
2014 to
2015
2016
8/29/2016 5

Motivation Technological Change Issues Future
8/29/2016 6

Net Beneficiaries of autonomous car boom
8/29/2016 7

Influencing Factors
Forces Shaping
Automobile
Industry
Diverse Mobility
Ride Sharing
Shared Mobility
Autonomous
Driving
Electrification Connectivity
• Digitization of automobile industry and push for
“Smart Cars”
• Increased influence of electronics over the
automobile industry (Hardware front)
• Increasing influence of Artificial Intelligence
driven technology (Software front)
• Increased focus on Machine vision and
machine learning centered R&D
• Increased influence of connectivity
technology
• R&D to move away from fossil fuel run vehicles
due to negative sentiments towards fossil fuels.
• Growing environmental concerns
• Growing safety concerns
8/29/2016 8

Annual Finance Consolidated Annual Finance Consolidated Annual Finance Standalone Annual Finance Standalone Profitability
Rs. Million Rs. Million Rs. Million Rs. Million
L L L L
Company Name Sales Profit after tax Sales Profit after tax Sales Profit after tax Sales Profit after tax Consolidate
Automotive Stampings & Assemblies Ltd. 2882.4 -206.9 0% 0% 0% 0%
Indian Hotels Co. Ltd. 41886.4 -3470.8 20243.8 -820.2 1% -1% 1% 0% -8.29%
Nelco Ltd. 2057.3 -66.1 1391 -51.2 0% 0% 0% 0% -3.21%
Oriental Hotels Ltd. 3799.2 -25 3076.7 -73.2 0% 0% 0% 0% -0.66%
Rallis India Ltd. 17265.6 1467.3 14043.3 1260.2 0% 0% 1% 0% 8.50%
T R F Ltd. 12022.3 -342.5 5622 -46.7 0% 0% 0% 0% -2.85%
Taj G V K Hotels & Resorts Ltd. 2753.3 35.9 2697.8 84.2 0% 0% 0% 0% 1.30%
Tata Chemicals Ltd. 174065.4 8073.9 102991.2 6379.7 3% 2% 5% 2% 4.64%
Tata Coffee Ltd. 17641.2 1621.2 7178.7 1066.3 0% 0% 0% 0% 9.19%
Tata Communications Ltd. 179594.8 29.5 43193.5 6746.2 3% 0% 2% 2% 0.02%
Tata Consultancy Services Ltd. 1086470.7 243936.6 858680.4 229014.2 18% 54% 38% 80% 22.45%
Tata Elxsi Ltd. 8494 887.2 10752 1548.1 0% 0% 0% 1% 10.45%
Tata Global Beverages Ltd. 79444.9 2843.6 28605.1 2989.4 1% 1% 1% 1% 3.58%
Tata Investment Corpn. Ltd. 1972.6 2026.1 0% 0% 0% 1%
Tata Metaliks Ltd. 13897.8 1227.9 10383.5 506.1 0% 0% 0% 0% 8.84%
Tata Motors Ltd. 2338952.3 141832.1 394349.4 -46455.5 38% 31% 17% -16% 6.06%
Tata Power Co. Ltd. 340091.8 3992.8 85442 10255.6 6% 1% 4% 4% 1.17%
Tata Sponge Iron Ltd. 6330.4 308.8 6330.4 308.3 0% 0% 0% 0% 4.88%
Tata Steel Ltd. 1532600.1 36639.7 463663.5 64391.2 25% 8% 20% 22% 2.39%
Tata Teleservices (Maharashtra) Ltd. 22794.7 802.3 28927.3 -6152.5 0% 0% 1% -2% 3.52%
Tinplate Co. Of India Ltd. 8479.7 733.8 0% 0% 0% 0%
Titan Company Ltd. 119493.3 8162.5 119367.1 8230.7 2% 2% 5% 3% 6.83%
Trent Ltd. 24447.4 -187.3 14246.3 1000.3 0% 0% 1% 0% -0.77%
Voltas Ltd. 51958 3880.7 51831 3359.6 1% 1% 2% 1% 7.47%

-40%
-20%
0%
20%
40%
60%
80%
100%
Sales
Profit after tax
Sales
Profit after tax
-5
0
5
10
15
20
Jan-06 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14
Profitability
PBDITA as % of total income PAT as % of total income
4.48
5.5
5.19 5.01
5.82
0.78
1.23
0.84
1.16 1.17
0
1
2
3
4
5
6
7
2011 2012 2013 2014 2015
Ratios
Interest Cover Debt Equity Ratio

JLR
8/29/2016 12
-263.4
-5.9 -1.3
-300
-250
-200
-150
-100
-50
0
2013 2014 2015 2016
PAT as % of total incomePAT

Observation
Tata Motors is doing well but has a high debt to equity for an
automobile manufacturer
The commercial trucks division is doing fine
JLR is struggling to make profits
Must look for differentiation.
8/29/2016 13

How AC will change dynamics of industry
14
Medical
Motor Vehicle Accidents (MVA) account for
$23 bn in hospital spending, which translates
to ~1.5% of all total hospital care and physician
services costs.
Insurance prices are likely to decline due to
lower accident frequency. However, accident
severity costs may continue to rise as car
complexity rises
Insurance
Near-term: A demand for increasingly complex software in
auto design and manufacturing.
Longer-term: Standardization of custom-built software on
packaged platforms or application sets. • Managing “big data”
resulting from increasing sensor counts in vehicles.
Software
Today, connected cars are a modest near-term revenue
opportunity. This could potentially reach ~$100 bn with
the rise of autonomous driving. Positive for towers, while
carriers face opportunities and risk
Telecom Equipment
Shifting the “value” of the car away from predominantly
hardware to a software component as well, thereby allowing
new players to enter and forcing existing players to reinvent
themselves or cede share
Auto OEMs and Suppliers
Transforming cars into workplaces or leisure venues could Increase
the benefits of private ownership, to the detriment of rental
companies.
The fleet management/customer service opportunities in the world
of the roving autonomous car parc could be significant.
Car Rental
We conservatively estimate the potential savings to the
freight transportation industry at $168 bn annually Collateral
implications include competitive advantage to large, well
capitalized fleets
Freight Transport
Transforming the
Industry
8/29/2016

Potential cost savings (US)
15
01Fuel Savings
$158 Bn.
02 Total savings from
accidents avoidance
$488 Bn.
04Productivity gains from
Congestion Avoidance
$138 Bn.
05Fuel Savings from
congestion
Avoidance
$11 Bn.
03Productivity gains
$507 Bn.
Source: Morgan Stanley Research
8/29/2016

The Social Commitment
8/29/2016 16

0
2
4
6
8
10
12
14
16
State-wise Accidents Data
Share of States/UTs in Total Number of Persons Killed in Road Accidents - 2011 Share of States/UTs in Total Number of Persons Killed in Road Accidents - 2012
Share of States/UTs in Total Number of Persons Killed in Road Accidents - 2013 Share of States/UTs in Total Number of Persons Killed in Road Accidents - 2014
8/29/2016 17

0
5
10
15
20
25
Accidents per Lakh of Population
Total Number of Persons Killed in Road Accidents Per Lakh Population - 2011 Total Number of Persons Killed in Road Accidents Per Lakh Population - 2012
Total Number of Persons Killed in Road Accidents Per Lakh Population - 2013 Total Number of Persons Killed in Road Accidents Per Lakh Population - 2014
8/29/2016 18

135000
136000
137000
138000
139000
140000
141000
142000
143000
2011 2012 2013 2104
Accidents
Accidents
8/29/2016 19

Top reasons for accidents in India – Human Error
20
Over speeding
Òverspeeding is the number one cause of road
accidents. An adult pedestrian has less than a
20% chance of dying if struck by a car at less
than 50 km/h but almost a 60% risk of dying if
hit at 80 km/h.
Red Light jumping
It is a common sight at road
intersections that vehicles cross
without caring for the light.
Drunken Driving
Driving under influence.
Distraction to Drive
Distractions could be outside
or inside the vehicle.
Avoiding Safety Gears like
seat belts and helmets
Gross negligence and ignorance.
8/29/2016

Why Autonomous Cars
21
Lives saved
Fuel Saved
Traffic Patterns
Consumer
Productivity
Government data show in 2014 alone,
more than 275000 people were killed in
road accidents
Cars that drive themselves based on predictive capability and the ability to alter the state of the car based on
anticipated load conditions should be significantly more efficient than manually operated vehicles. Just using
cruise control in a car of today can easily result in a 15-30% fuel economy improvement vs. manually operating
the throttle
V2V and V2X capability should enable autonomous cars to know the position of surrounding traffic and create
significantly more efficient traffic flow. Every year, the existing US car parc burns 3 billion gallons of gas sitting in
traffic jams.
One benefit of smoother traffic flow, we believe, is less time spent on the road getting from Point A to Point B,
which should significantly boost commuter productivity. The bigger gains could come from not having to manually
drive the car, freeing up the occupants’ time spent in the car for other pursuits
8/29/2016

Barriers to innovation are usually in the mind!
~Ratan Tata
8/29/2016 22

Car of the Future
• Next gen Interiors
• Exteriors
• Retrofitting
Chassis
• Camera/Lidar
• Ultrasound
• Infrared
• Long/Short Radar
Sensors
• Mobile
Processors
• GPU
Computing
• Vehicle to vehicle
communication
• Transmitters
• Receivers
• Advanced
Mapping
Navigation
• Navigation
• Communication
Software
8/29/2016 23

Ups and downs in life are very important to keep us going, because a
straight line even in an ECG means we are not alive
~Ratan Tata
8/29/2016 24

Safety Issues
26
SAE, NHTSA &BAST criticized for
ignoring established knowledge
in human factors
Ill-conceived standards Left turn issue/
Police officer waving With these cars, might become
at least as good as the average
human faster than they would
otherwise and thus save more
lives overall
Utilitarian
 Establishing an
international agreement
on rules and regulations
for autonomous vehicles
Global focus on safety
 Reduce the rate of traffic
and congestion on the
road.
Traffic
 Code of ethics for
autonomous vehicles in
the event of an
unavoidable accident
Ethics
Usage of LIDAR solves
the problem
8/29/2016

Legal AspectAdapting current safety standards and regulations to allow further testing of autonomous vehicles on public roads
Assessing liability in accidents involving autonomous vehicles
Establishing an international agreement on rules and regulations for autonomous vehicles
Safely integrating autonomous vehicles with other road users
Code of ethics for autonomous vehicles in the event of an unavoidable accident
Authorising police and law enforcement agencies to intercept and remotely stop self-driving vehicles
Allocating civil and criminal liability in the event of a cyber attack, vehicle hacking or deliberate interference with an automated vehicle
Information Collected while vehicle is in use
Invasion to privacy
Insurance Requirement
Patent/Copyright Act
Definition of Autonomous Vehicles
Prior control test by manufacturers
Presence of two drivers
Prior Authorization
Report Failures
Special Driver’s Licence
Statutory Law
Tort Law
Product Liability Law
Six geographical categories: Interstate
highways , State highways , Urban
environments , Complex urban
environments , Residential roads
,Unpaved or unmarked roads - Five
environmental types , Night driving ,
Rain , Fog , Snow/Ice , High crosswinds
(gusts above 30 mph)

Sources of Competitive Advantage
2
Brand
Value Internal
Suppliers
International
Capability
Market
Leaders
Brand Value
Most Reputed Company:
Nielsen Report
Bagged more than 100
Awards
71 Years of Service
World’s 5th largest Motor
Vehicle Manufacturer
Internal Suppliers
Tata Technologies Limited
European Technical Centre
Software: TCS
Hardware Body: Tata Steel
Hardware Internal: Buy
/Import; Acquire
Joint Venture operations in
Kenya, Bangladesh, Ukraine,
Russia and Senegal
Dealership in 26 countries
More than 6600 sales and
service point globally
Presence in over 170 countries
International Capability
USD 42 Billion Organization
Leading global automobile
manufacturer
Portfolio covers wide range
of cars, sports vehicles,
buses, trucks, and defence
vehicles
Among top four automobile
companies in India
Market Leaders
8/29/2016

SPIDER CHART
0
10
20
30
40
50
60
70
Geography
Functionality
Product
Technology
Series 1
Series 1
Geography
10: India
20: APAC
30: MIDDLE EAST
40: AFRICA
50: RUSSIA
60: EUROPE
70: LATIN AMERICA
Technology:
10: RADAR
20: LIDAR
Product:
10: Parking Assistance
20: Cruise Control
30: Semi Autonomous
40: Full Autonomous
Functionality:
10: Personal Vehicles
(Cars)
20: Freight Vehicles
30: Public Transport
40: Rental Services
48/29/2016

SWOT
5
1
2 4
3
Firm Infrastructure, HRM, Marketing and sales,
Inbound and Outbound Logistics and
Operations
Trusted Brand
Jaguar Land Rover: With some autonomy
TCS
Strength
Leveraging TCS Capabilities
Subsidiary: Jaguar Land Rover Advantage
To become a leader in India in this segment
Become a differentiator
Environment Sustainability (Developing and
Growing Economy)
Economise Indian IT Human Resource and
other related suppliers (start ups) : Cheap
Focus on freight (Faster Penetration)
Opportunity
Technology Competence
Lack of Suppliers for components
Weakness
High Cost of Technology eg. LiDAR 30Lakh
Lack of Economics and Supporting
Infrastructure
Rules & Regulations and Legal
Infrastructure
Cheap Labour cost: Drivers
Car Rental Services
Alternatives to travelling
Threat
8/29/2016

TATA MOTORS
6
Trusted
Brand
Existing
Supply
Chain
R&D
Co Creation
• 71 Years of Service: Established in 1945
• Backing of TATA Group
• Foothold in market
.
• Tata Motors' UK R&D centre joins 'UK Autodrive' consortium project to demonstrate
and integrate driverless cars into everyday life
• Tata Motors European Technical Centre (TMETC) to contribute Tata brand prototype
autonomous vehicles for controlled tests in urban environment
• R&D centres in UK, Italy, India and South Korea
• Competence of its IT wing TATA Consultancy Services (TCS) in the field of robotics
• Tata Motors’ subsidiary -- Jaguar Land Rover (JLR) is planning to create a fleet of
more than 100 research vehicles over the next four years, to develop and test a wide
range of connected and autonomous vehicle (CAV) technologies.
• Design Centers in UK, Turin and India
• Firm Infrastructure, HRM, Inbound and Outbound Logistic, Operations,
Marketing and Sales
8/29/2016

TATA MOTORS WORLDWIDE
98/29/2016

I have always been very confident and very upbeat about the
future potential of India. I think it is a great country with
great potential.
~Ratan Tata
8/29/2016 34

Categorizing issues
Strategy
How do I coordinate
existing resources and
innovate to release
this product?
What do I do is my
competitor beats me?
How do I restructure
the organization? Do I
need to?
Who are my
competitors?
Marketing
How do I position the
products?
What segment do I
target?
What pricing strategy
should I adopt?
Which cities should I
sell in?
Operations
Where are my
suppliers?
Where should I place
my plant?
Where are my
workers?
Supply chains
Cost control
Assembly line design
HumanResources
Where to I find the
right talent?
R&D alliances?
8/29/2016 35

NHTSA and SAE Classification of Autonomous Cars
Source: http://jalopnik.com/whats-a-level-4-autonomous-car-this-chart-explains-eve-1785466324
Strategy Marketing Operations Human Resources
8/29/2016 36

How automobile industry will be disrupted by digital services
17
8/29/2016

New Model for Automobile Industry
18
8/29/2016

Emerging Market Considerations
14
6
3
54
1 2
Higher No. of Traffic Deaths
Opportunity: More population
more fatalities so in future more
demand
Fewer Legal and Government Constraints
Opportunity: Less stringent
litigation process
Less stringent driving standards
Challenge: Greater congestion,
Problematic traffic planning, Less
Enforcement of driving laws
Availability of cheap labours as
drivers
Quick Adopters
Opportunity: Receptive to new
technologies
Eg. Smartphone
Different Purpose
Opportunity: Mostly use of cars
for commuting from one city to
another thus travelling on
highways
Growing Demand for Cars
Car ownership less penetrated
8/29/2016 Source: Morgan Stanley Report

Triple Bottom Line
Economic:
Manufacturers and infrastructure providers will now become the subject of liability, rather than the direct consumers (drivers)
Automakers will also have to adopt new business models of car sharing, rental, or taxi services rather than car ownership or retail.
Considerable growth in data consumption as autonomous vehicles will communicate over mobile networks
Changes in employment structure
Social:
Cleaner Ecosystem and better human experience
Improvement in human productivity
Less fatalities
Legal:
Liability and Insurance
Standard of performance and care,
Privacy, Data Protection and Cyber issues
168/29/2016

Porter’s Diamond
Porter’s
Diamond
Context for firm Strategy
and Rivalry
• Internal Suppliers (+)
(Technology and
hardware)
• Government Support (-
)
• Tax (-)
Demand Condition
•Increasing Customer
Sophistication (+)
•Growing Domestic
Market (+)
•Lower Buying Power (-)
Factor (Input) Conditions
•Rules and Regulation (-)
•Cheap Labor (+)
•Growing Middle Class (+)
•Transport Infrastructure
(-)
•IT Industry (+)
Related and Supporting
Industries
•Internal Suppliers(+)
•R&D(-)
•Chips, processors etc.
suppliers (-)
•Financing Support @ TATA
Group (+)
1
8/29/2016

New
entrant
Suppliers Buyers
Substitutes
Porter’s Forces
Medium
Medium to High
Low to Medium
Medium to High
Medium to High
Large no. of substitutes: Cars( normal ), Ride sharing,
Rental services, Video call, Media technology, drones
Few Suppliers of Soft wares, chips,
processors
High cost technology, Few
sellers
Technology firms: Google, Apple
Big firms: High cost
3
8/29/2016

RISK: Reverse Perception About Cars
• Teleconferencing,
Videoconferencing
• Social Media
• Work from home
• Self run enterprises
• Hologram
Eliminating Need to Travel
• People becoming environment
conscious: Walk/Cycle
• Use of public transport(Rapid
Transit System, Metro, Bus and
Trains) and car pools thus
reducing car needs
• Drones
• Taxi aggregators
Alternative Modes of Traveling
8/29/2016

PESTLE Analysis
13
Political: Government
Support for infrastructure
development and Cost
consideration for reduction
in fatalities, oil import,
pollution reduction etc.
Economic: Cost
Consideration (Product) with
respect to purchasing power
of people
Social: Building consumer
awareness and acceptance
Technological: Software and
Hardware
Legal: Resolving liability
issues and getting regulatory
support from government
Environmental: Less
pollution but concerns about
E waste
8/29/2016

Way Forward - Strategy
45
L4: Service IndustryL0 : Electric Vehicles
L1: Driving Assistance
L2 :Semi Autonomous
L3: Autonomous
Completely battery or solar
powered vehicles
Vehicles that are similar to
the current Tesla products
Will be autonomous
most of the time.
Will need human
intervention
occasionally
No need for steering
wheels or peddles
Powered completely by AI
Advanced Technologies
No longer sell cars, but sell
car hours
Autonomous Taxi and ride
sharing
Rent a car business model
No new technological
changes from L4
8/29/2016

Other Considerations
11
Demand in Existing market of Tata Motors
Demand growing at a high rate in
Europe (35% volume share in 2017)
and at a slow rate in other regions but
growth will fasten post phase 1
Cost Minimization
TCS Advantage
Technical competence
Internal technology transfer: Subsidiary
Jaguar and Rover
Low marketing cost : Brand Awareness
Cheap Labour
New Avenues
Mobile Service and Technology
Suppliers
Energy Providers
Financial Services
Government and Transport Services
Health Care
More Media Consumption
Global Demand
The Autonomous car/ driverless cars
market demand is expected to reach
138,089 units by 2024.
Source: Grand View Research
8/29/2016

Global Demand
The Autonomous Cars/Driverless Cars Market
demand is expected to reach 138,089 units by
2024.
128/29/2016

Tata’s Marketing- key to success
Marketing prowess
Dealership
There can be Tata Dealers
Sales team
There can be no
commissioned sales people
Marketing
Cars should be marketed, not
aggressively sold
Price
Price should be for mass market
Transaction
The transactions done
online
Inventory
The models are build to order
Test Drive
Put down $100 and do it
Wait
Customers might have to wait a
little
Great
Product
Start
High
Reverse
engineering
Multi
channel
model
Build
Community
Leverage
Media
8/29/2016
48

88/29/2016

What do potential consumers think?
8/29/2016 50

Trends in India
• Autonomous Cars Search
• Tesla Motors 0
20
40
60
80
100
120
2004-01
2004-07
2005-01
2005-07
2006-01
2006-07
2007-01
2007-07
2008-01
2008-07
2009-01
2009-07
2010-01
2010-07
2011-01
2011-07
2012-01
2012-07
2013-01
2013-07
2014-01
2014-07
2015-01
2015-07
2016-01
2016-07
Search Patterns for Car Companies
Tata Motors: (India) Tesla: (India) BMW: (India)
Audi: (India) Maruti Suzuki: (India)
• The overall search trends look favorable.
• Maruti Suzuki is searched more than Tata Motors but tata motors
will be catering to premium customers and not to mass market
8/29/2016 51

Potential Suppliers?
8/29/2016 52

Chassis
53
01
02
03
Next gen Interiors
Continental ,Bosch and Firmo
Exteriors
Atieva, Delphi, Roush, Renovo Motors and Edison2
Retrofitting
Cruise and Zoox
Chassis
Retrofitting
Cruise
ExteriorInterior
8/29/2016

Sensors
54
01
02
03
Camera/Lidar
Velodyne, Mobileye, Quanergy, Valeo
Ultrasound
Bosch,Continental, Denso, Valeo
Infrared
Autoliv, Bosch, Denso
04 Radar
• Long range: Autoliv, Bosch, TRW, Continental, Hella, Valeo
• Short Range: Autoliv, Bosch, TRW, Continental, Delphi, Denso
Sensors
Camera/Lidar
RadarInfrared
Ultrasound
8/29/2016

Processors
01 Processors
Renasas,Infineon,ST,TI,Freescale,NXP,Nvidia,Intel, Qualcomm, Mediatek
Samsung
8/29/2016 55

Navigation
56
01
02
Advanced Mapping
Google, TomTom, Here (Nokia)
V to V Communication
Autotalks, Cohda Wireless, Cisco
Navigation
Advanced Mapping
V To V Communication
8/29/2016

Software
01 Software
Carmakers,Tier-One Suppliers,Google, Electrobit,Mobileye, IBM
• Various carmakers like Tesla use their own proprietary software in
their cars
• Various Tier-One suppliers also use their own proprietary software
in their products
• Thus it is not possible to clearly define suppliers for software .
8/29/2016 57

Specialized Technology Vendors in India
58
GEOKNO INDIA PVT LTD
(A spin-off from IIT Kharagpur)
LIDAR Technology
Geokno is the first and only company
in India to have scanners in all three
categories- Airborne, Mobile and
Terrestrial LiDAR
Specialise in:
• Airports
• Industrial Parks
• Utility department
• Government Agency
• University/College
OIS Advanced Technology
RADAR sysyems
Specialise in:
• C4ISR Systems
• RADARS
• Foliage Penetration Synthetic
Aperture Radar
• 3D Bird Detection and Monitoring
Radar System
• Bird Deterrence System
• 3D Air Surveillance UAV Detection
Radar
• Ground Surveillance Radar
• Night Vision Devices
• Gate mgmt. Systems
Advanced Mapping
Technlology
Remote sensing/CAD
Host of companies:
• AirSan Geographic
• Antils Geospacial
• Anu-Bhav Geospecial
• ArcGeosysystems
• Astar Infosystems
• Digitalsol
Savari and Security
Innovation Partner
V2V, V2X
Specialise:
• Enabling V2V Commu-
nication for Safety
• V2X
• Predicive Safety Apps

8/29/2016 59
A country of tremendous brain power and human
capital and the one thing that makes it happen is an
opportunity
~Ratan Tata

TCS Campus Commune
8/29/2016 60
https://campuscommune.tcs.com/intro
R&D Alliances
JV With TCS for talent in top research and educational institutes around the world.
Specialized vendors in India can also be potential acquisition targets.
Educational Institutions
• IIT Kharagpur students founded campus shuttle

Legal Documents
• Current scenario on legal issues :
• http://www.driverless-future.com/?cat=9
• The Colombia Science and Technology Law Review: http://stlr.org/2015/11/22/law-and-the-
problem-of-autonomous-cars/
• National Conference of State Legislatures:
http://www.ncsl.org/research/transportation/autonomous-vehicles-legislation.aspx
• Department of Motor Vehicles (State of Nevada): http://www.dmvnv.com/autonomous.htm
• Autonomous Vehicle Technology:
http://www.rand.org/content/dam/rand/pubs/research_reports/RR400/RR443-2/RAND_RR443-
2.pdf
• Washington School of Law Report:
https://www.law.washington.edu/Clinics/technology/Reports/AutonomousVehicle.pdf
• The Centre for Internet and Society:
http://cyberlaw.stanford.edu/wiki/index.php/Automated_Driving:_Legislative_and_Regulatory_A
ction

Source: EY Report
TATA IMPLEMENTATION

TATA MOTORS STRATEGIC CONSIDERATIONSource: EY Report

Conclusions
8/29/2016 64
Why
Autonomous?
Sound
financial
health
Brand name
and trust
Emerging
market
opportunity
First mover
advantages
Subsidiary
support
Availability
of suppliers

Thanks For Coming
Have A Nice Day

Should Tata Motors go for Autonomous cars?

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