Role Of Driverless Cars In Computing Sector

Running head: ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR
ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR
Name of student
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ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR
Table of Contents
Introduction....................................................................................................................2
Discussion......................................................................................................................2
Driverless cars............................................................................................................2
Working mechanism of driverless cars......................................................................4
Role of driverless cars................................................................................................6
Conclusion......................................................................................................................7
References......................................................................................................................8

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ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR
Introduction
The present world has been introduced with various kinds of technologies that are
allowing the simplification of several processes. Several companies are pursuing the idea of
driverless cars that are allowing common people to use this technology and gain major
benefits. This report intends to analyse the role of driverless cars in the computing sector and
how it is helping the companies to achieve significant growth. A brief discussion of the
driverless cars has been provided in this report. This report provides a clear description of the
role of driverless cars in the present world and how it is being used by the companies for
achieving competitive growth.
Discussion
Driverless cars
With the introduction of the modern technologies in the present world, the car
industries are starting the development of the driverless cars. It utilises the electronic
technologies along with several other technologies (Jamalnia 2017). A driverless car, that is
also referred as the autonomous vehicle is the kind of vehicle that possesses the capability of
sensing the surrounding and even move safely with minor or even no input from humans. The
driverless car combines various sensors for perceiving the environment around them for
properly identifying the suitable paths for navigation and the obstacles. These cars needs the
presence of any driver but they also have the ability of driving independently. The vehicle
manufacturers as well as their respective systems suppliers are constantly exploring the main
opportunities for the complete autonomy of the vehicles (Amichai-Hamburger et al. 2020).
With comparison to the older traditional vehicles, the driverless cars provides several benefits
because of the several features present. Initially, it could be considered that the most popular
features is that the driverless cars could easily handle any congestion in the traffic while

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driving effectively on the road that denotes lane keeping, changing the lane deprived of any
need of steering the wheel and the adaptive cruise control for maintaining significantly safe
distance (Mukherjee, Mukherjee and Dey 2019). It could easily maintain the safe distance
while moving on any highway. The laser ranging system is effectively used by the vehicle for
scanning the surroundings within the three dimensions, and the video cameras are used for
identifying the objects, for example, the traffic lights, any construction lights, any pedestrian
and the other vehicles. One more feature of the driverless car could be considered is that it
aids in reducing the use of fuel while driving on any road. The person possessing driverless
car could gain the benefit of saving extensive money. The driverless car utilises significantly
less fuel while driving on roads. The most recent feature of the driverless car is the utilisation
of the ultrasonic sensors on the rear wheels. The ultrasonic sensor assists the passengers with
alerting the car when the tires are running out of air (Simons and Malkin 2020). The
ultrasonic sensors also helps the passengers in notifying earlier regarding any leakage in the
tires. The software program of the driverless car maintains the proper road behaviour on the
roads. The controlling of the car is entirely on the software of the driverless car. Another
recent feature of the driverless cars is the utilisation of aerial on rear of car for reading the
geo location. The aerial mainly receives the information from GPS and the sensor inside the
car assists in localising itself. The map of the driverless cars updates any innovative
information of the positions by help of the sensor while moving. The driverless cars
integrates the complex GPS systems technology that assists in sensing the varying road
conditions and the systems that allows with acting on the data for gaining information
regarding the destination (Simons, Feltman and Malkin 2018). Ultimately, the recent news
regarding the driverless car is the impact of this technology in global scale and local scale.
The driverless car allows is keeping the environment significantly clean and fresh. Several
countries have made the decision that the construction of the factories of driverless car should

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be done. Majority of the people are considering that they should possess one driverless car in
future. It would help in creating significantly more job opportunities, and the space required
parking could be significantly reduced by huge amount.
Working mechanism of driverless cars
Various cars have the ability of self-driving at various levels. The level 0 denotes that
all the main system are being controlled by the humans. In the level 1 autonomy, specific
systems like the cruise mechanism or the automatic braking might be controlled by car one at
time. In level 2, the car offers minimum two synchronized automated purposes such as
steering as well as acceleration but it needs human intervention for ensuring the secured
operation. In level 3, the car could manage all the safety critical functions under specific
conditions but it could be considered that the driver has to gain control of the vehicle when it
has been alerted (Kaur and Rampersad 2018). In level 4, the car could be considered to be
completely autonomous in some of the scenarios of driving and not all of them. In level 5, car
has been made totally capable of the self-driving in each of the situations. Several
technologies of self-driving are being created by various companies. While there is varying
details in the designing, majority of the self-driving systems helps in creating as well as
maintaining the internal map of the surroundings on the basis of array of the sensors, such as
radar. The self-driving prototype of Uber Company utilises over sixty four laser beams and
various sensors for constructing the internal map, and the prototype of Google have utilised
various kinds of laser, radar and powerful camera as well as sonar. Autonomous cars has the
ability of creating as well as maintaining the map of the surroundings on the basis of various
sensors that are placed in the various parts of vehicle (Wadhwa and Salkever 2017). The
radar sensors could effectively monitor position of the nearby vehicles. The traffic lights
could be easily detected by the video cameras, along with track any other vehicles, reading
the road signs, and even look for the pedestrians. The lidar sensors have the ability bouncing

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the pulses of the light off surroundings of the car for measuring distances, detecting the road
boundaries and recognise the lane markings. The ultrasonic sensors within wheels could
perceive the curbs and any other vehicles while parking (Bobisse and Pavia 2019).
The software then executes the processing of all the gained inputs, plots appropriate
path and then sends the instruction to actuators of the vehicle that control acceleration,
steering as well as the braking. The algorithms of the obstacle avoidance, hard-coded rules,
smart object perception and the predictive modelling helps the software in following the
traffic rules as well as navigate the obstacles. The partially autonomous vehicles might need
human driver for intervening if there is any kind of uncertainty in the systems, and the
completely autonomous vehicles might not provide any steering wheel. The self-driving cars
could further be distinguished on the basis of the connection that is formed among them,
indicating whether they could communicate with any other vehicle and the infrastructure,
such as the next generation traffic lights (Urry 2016). Majority of the prototypes does not
presently have the ability of communicating with any other vehicle. The benefits as well as
the costs of the self-driving cars are presently considered hypothetical. Huge amount of
information is required for completely assessing the manner by which the economy, drivers,
environment, equity would be impacted. The main concern regarding the driverless cars is the
issue of concern. It has been observed that huge amount of people have faced crashes in the
countries where the trend of driverless cars is growing. The aspect of equity has been
considered as the major concern for majority of the people and countries while adopting the
driverless cars technology. The self-driving technology could help in the mobilisation of the
individuals who do not have the ability of driving themselves, for example, any disabled or
any elderly. But widespread adoption of the autonomous vehicles could help in the
displacement of millions of the people who are employed as the drivers, and negatively

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impacting the public fund of transportation, and even perpetuate the present injustices of the
transportation systems (Urry 2016).
The aspect of the environmental concerns are considered the major threat for the
people who possess the driverless cars. Easily accessible, convenient as well as inexpensive
self-driving cars could lead to the increase of the overall number of miles that is driven per
year. If these vehicles have been powered by the help of gasoline, then the aspect of
transportation associated climate emissions could rise significantly. If vehicles are integrated
with electricity, and it is paired along with the clear electricity grid, there might be a drop on
the emissions of transmission (Luo, Yan and Wood 2017).
Role of driverless cars
With the constant innovation in the technology of driverless cars, it is able to maintain
the competitive advantage in the market. The driverless cars are becoming significantly
important in the present times. The main importance of the driverless cars is in the aspect of
reduction of the amount of traffic on the roads. The driverless cars has the ability of
communicating among one another and the surroundings that allows them in identifying the
most suitable route to any destination. It would help in spreading demand for the scarce space
on the roads (Talley 2017). The most beneficial aspect of driverless cars is the increase of
safety in the roads. It has been predicted that the widespread embrace of the self-driving cars
could help in eliminating over 90% of the auto accidents in the countries and preventing upto
$200 billion in the damages as well as the health costs yearly and ultimately saving huge
amount of lives.
Another benefit of the driverless cars is freeing up increased time. As per the recent
studies, it has been predicted that average person spends over 100 minutes per driving. With
introduction of the driverless cars, the individuals could enjoy significant free time and the

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cars could do the driving. It has been predicted that future of the driverless cars is probably to
involve the sharing schemes. With the introduction of the driverless cars, the transportation
services could be significantly improved (Zhou et al. 2017). The driverless cars integrates the
car-sharing services could effectively transform the cars from something that is owned by the
people to the services that could be demanded. The reduction in the traffic could also help in
improving the health of people. Less traffic would improve the health of people significantly
as the traffic jams produces huge amount of smokes and gases that causes various diseases.
The most crucial aspect of the driverless cars is the reduction of emissions. The global CO2
emissions from the transports have increased in the recent times. The proper use of the
electric autonomous vehicles solely helps in the reduction of emissions of greenhouse gases.
The driverless cars could introduce demand for the innovative jobs (Koul and Eydgahi 2018).
While the driverless cars could lead to loss of the jobs on the massive scale, it could increase
demand of various jobs such as the software developers, hi-tech machine experts as well as
the engineers of wireless network.
Conclusion
Therefore, it could be concluded from the above discussion that the introduction of
the driverless cars in the present times is helping with reforming the methods by which
vehicles are used. A driverless car, that is also referred as the autonomous vehicle is the kind
of vehicle that has the capability of sensing the environment and even move safely with
minor or even no input from humans. The self-driving prototype of Uber Company utilises
over sixty four laser beams and various sensors for constructing the internal map, and the
prototype of Google have utilised various kinds of laser, radar and powerful camera as well
as sonar. The main importance of the driverless cars is in the aspect of reducing the amount
of traffic on the roads.

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ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR

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ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR
References
Amichai-Hamburger, Y., Mor, Y., Wellingstein, T., Landesman, T. and Ophir, Y., 2020. The
Personal Autonomous Car: Personality and the Driverless Car. Cyberpsychology, Behavior,
and Social Networking.
Bobisse, R. and Pavia, A.A., 2019. Automatic for the City: Designing for People in the Age
of the Driverless Car. RIBA Publishing.
Jamalnia, A., 2017. Fuzzy Navigation of a Driverless Car in Fully Unknown Dynamic
Environment. Mapta Journal of Mechanical and Industrial Engineering (MJMIE), 1(1),
pp.24-34.
Kaur, K. and Rampersad, G., 2018. Trust in driverless cars: Investigating key factors
influencing the adoption of driverless cars. Journal of Engineering and Technology
Management, 48, pp.87-96.
Koul, S. and Eydgahi, A., 2018. Utilizing technology acceptance model (TAM) for driverless
car technology adoption. Journal of technology management & innovation, 13(4), pp.37-46.
Luo, J., Yan, B. and Wood, K., 2017. InnoGPS for data-driven exploration of design
opportunities and directions: the case of Google driverless car project. Journal of Mechanical
Design, 139(11).
Mukherjee, S., Mukherjee, R. and Dey, A., 2019, May. Application of Cooperative
Communication System in Driverless Car. In International Conference on Computer
Networks and Inventive Communication Technologies (pp. 720-727). Springer, Cham.
Simons, R.A. and Malkin, A.A., 2020. 13 Where would the driverless car fleet rest during the
day?. Driverless Cars, Urban Parking and Land Use.

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ROLE OF DRIVERLESS CARS IN COMPUTING SECTOR
Simons, R.A., Feltman, D.C. and Malkin, A.A., 2018. When Would Driverless Vehicles
Make Downtown Parking Unsustainable, and Where Would the Driverless Car Fleet Rest
During the Day?. Journal of Sustainable Real Estate, 10(1), pp.3-32.
Talley, E.L., 2017. Is the future of law a driverless car? assessing how the data analytics
revolution will transform legal practice. Journal of Institutional & Theoretical
Economics, 174(1), pp.183-205.
Urry, J., 2016. What we do whilst driving: towards the driverless car. In Mobilities: New
Perspectives on Transport and Society (pp. 245-266). Routledge.
Wadhwa, V. and Salkever, A., 2017. The Driver in the Driverless Car: How Our Technology
Choices Will Create the Future. Berrett-Koehler Publishers.
Zhou, K., Yu, L., Long, Z. and Mo, S., 2017. Local path planning of driverless car navigation
based on jump point search method under urban environment. Future Internet, 9(3), p.51.