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Impact of Autonomous Vehicles on the Auto Industry

   

Added on  2023-03-20

21 Pages5652 Words85 Views
Running head: RESEARCH PROPOSAL
Technical Project Proposal – Management of Technological Innovation
Name of the Student
Name of the Course
Name of the University
Date
Author’s Note
Impact of Autonomous Vehicles on the Auto Industry_1
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RESEARCH PROPOSAL
Table of Contents
1. Executive Summary...............................................................................................................2
2. Description of the technology and it's general potential........................................................3
3. Characteristics of the Technology..........................................................................................3
4. Industrial Analysis.................................................................................................................4
5. Technology Projection...........................................................................................................5
6. Discussion of Organization....................................................................................................6
7. Potential Organizational Impact.............................................................................................7
8. Organizational Projection.......................................................................................................8
9. Recommendations..................................................................................................................8
References................................................................................................................................10
Appendices...............................................................................................................................12
Impact of Autonomous Vehicles on the Auto Industry_2
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RESEARCH PROPOSAL
1. Executive Summary
The paper mainly reflects on autonomous a vehicle that is mainly considered as driverless
vehicles that generally help in guiding itself without human conduction. The main aim of the
paper is to focus on the future of transportation and to analyse its impact of autonomous
vehicles on the auto industry. It is found that the autonomous vehicles utilize algorithms as
well as AI for determining the map as well as for identifying the routes by navigating the real
traffic without getting the intervention of the human driver. The industrial impact of
autonomous vehicles has been discussed in the paper. The technological advances in
autonomous vehicles have been reflected in the paper. The industrial usages of the
autonomous vehicles have been critically explained in the report. This paper describes why
autonomous vehicles will be accepted as a new technology in the automobile industry in the
future. There have been various factors discussed in the report regarding the acceptance rate
of the AV in the market. The technology used in Autonomous vehicles has been discussed in
the paper.
Impact of Autonomous Vehicles on the Auto Industry_3
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RESEARCH PROPOSAL
2. Description of the technology and its general potential
According to Bonnefon, Shariff and Rahwan (2016), driverless cars are generally
predicted to create a significant impact on the global economies by creating new job options.
It is found that the experts who belong from the different motor industry generally help in
analysing how an increase within the autonomous vehicles creates an impact on the different
aspects of the industry. On the other hand, Vaudrin, Erdmann and Capus (2017) that
technological advancement within the global positioning, computing power, sensor system as
well as digital mapping has made autonomous vehicles a reality state it. It is found that the
self-driving car project has generally accelerated the development of the practical self-driving
cars which are considered to be safe as well as efficient. It is opined by Shah et al. (2018) that
the automobile industry is slowly reacting towards the technological change and therefore the
focus on the autonomous vehicles will be helpful in providing safe as well as a useful product
to the customers for reducing road accidents.
There have been installations of GPS systems along with Google maps that help in
reading and analysing the route of the journey to be covered with autonomous vehicles.
These vehicles have been including sensors that hotels in gathering data from the
surroundings and store it into the cloud server database. The use of different technologies in
autonomous vehicles has been helping in maintaining a keen approach in the market. These
technologies have helped in decreasing road accidents as there are sensors attached to the
autonomous vehicles (Correa et al., 2017).
Impact of Autonomous Vehicles on the Auto Industry_4
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RESEARCH PROPOSAL
3. Characteristics of the Technology
According to Litman (2015), the size of the transportation industry generally helps in
providing an opportunity to a number of companies as well as individuals who are mainly
interested in freight brokerage business he advancing technology has generally made its
entire way by properly tracking way of autonomous driving with more than $1 billion capital
that is generally infused within the auto industry (Janai et al., 2017). Moreover, it is found
that the various companies like Tesla, Uber are generally focussing on their energy by
making a positive way towards self-driving vehicles and it is found that the shift is generally
creating a potential change within the entire industry for good.
It is found that different types of advanced sensors are generally utilized within the
autonomous vehicles for gathering different types of information around the world which
further helps in increasing the different types of sophisticated algorithms for processing the
sensor data as well as for controlling the vehicles effectively (Correa et al., 2017). Moreover,
robotic systems, including the autonomous vehicles generally sense-plan as well as act the
design. For sensing the environment effectively, it is found that the autonomous vehicles
generally utilize different combinations of the sensors, including the lidars, cameras as well
as infrared. It is identified for effective localization; the vehicles generally use different types
of global positioning systems as well as inertial navigation-based system.
On the other hand, it is stated by Wang, Liu and Kato (2018) that for providing a
permit to the operation of the autonomous vehicles without proper alert back, it is found that
proper technology needs to be degraded gracefully in such a way that catastrophe can be
avoided. The V2V infrastructure is generally used for enabling AV (Autonomous vehicles)
based operation that generally remains unclear. While on the other hand, the technology
could generally ease them about automated driving in different types of circumstances. In
Impact of Autonomous Vehicles on the Auto Industry_5
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RESEARCH PROPOSAL
addition to this, driverless vehicles are the ones that generally helps in operating different
types of functions as the vehicles generally move from one place to another (Bonnefon,
Shariff & Rahwan, 2016). Some of the same technologies can generally be used within the
driverless vehicles will generally helpful in providing proper automated features in a proper
conventional way. Familiar automated technologies are generally helpful in providing
assistance to the drivers who generally control the operations of the vehicles.
It is found that five different types of technologies, including human vehicle
interface, sensors, automated controls, artificial intelligence are mainly utilized for operating
the automated vehicles (Mannucci et al., 2017). The sensors that help in providing internal
vehicle operation-based data including the steering, tires, throttle are generally embedded
within the modern vehicles. In addition to this, it is found that thousands of different types of
sensor microprocessors are mainly utilized for communicating over the CAN bus for vehicles
for effective coordination. Moreover, the use of global positioning systems helps in providing
proper real-time location-based information; however, the resolution of ordinary GPS signal
plays an accurate level of 3.5 meters (Correa et al., 2017).
It is stated by Solovey, Salazar and Pavone (2019) that driverless vehicles generally
rely on the artificial intelligence for integrating as well as analyzing the vehicles operational
data and roadway sensors are mainly used for successfully determining which type of
automated controls are generally used. Driverless vehicles mainly utilize artificial
intelligence integration with the operational as well as external roadway environment.
Additionally, different types of connected vehicle-based technologies are helpful in providing
inputs for the driverless vehicle-based operation quite effectively. Moreover, the wireless
communication systems are generally utilized for providing proper connectivity to the
vehicles over the receivers that are generally located at different places. It is analyzed that all
Impact of Autonomous Vehicles on the Auto Industry_6

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