Technological Failure Analysis of Self-Driving Cars
Verified
Added on 2022/12/19
|9
|1709
|88
AI Summary
This article discusses the technological failures and implications of self-driving cars. It covers mapping challenges, hacking risks, and weather-related failures. The legal and technological implications are also explored, along with recommendations for improving security.
Contribute Materials
Your contribution can guide someone’s learning journey. Share your
documents today.
TECHNOLOGICAL FAILURE ANALYSIS OF SELF-DRIVING CARS By Course Instructor Institution Location Date
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
Table of Contents Introduction.................................................................................................................................................3 Background..................................................................................................................................................3 Technological failure analysis about self-driving cars..................................................................................5 1.The act of mapping for a self-driving car is at times next to impossible..........................................5 2.Hacking of self-driving cars..............................................................................................................5 3.Technological failures due to weather extremes.............................................................................5 Implications.................................................................................................................................................6 1.Legal implications............................................................................................................................6 2. Technological implications...................................................................................................................7 Recommendations.......................................................................................................................................7 Conclusion...................................................................................................................................................8 References...................................................................................................................................................8
Introduction In 2010, the lowest number of individuals perished as a result of motor vehicle accidents in the United States, a figure that was that low in 1949[1]. The number of deaths from such accidents was 32885 individuals. The main cause was drunk driving. People are now shifting their focus in a bid to reduce those deaths by an even greater margin. But when one looks at it from another perspective, how will the technology in the cars choose between the safety on the passenger and that of a pedestrian and another driver. This means that in specific instances, the system of autonomous vehicles will fail. Manufacturers need to address the various technological setbacks that are a hindrance to the full capability of self-driving cars. Background Most people tend to rely on technology that leaves them very frustrated and vulnerable in many situations if there is any type of failure. Google autonomous cars might not yet have been a cause of any cases of accident, but that doesn’t mean that it will not. In a period of around 14 months, that is, between September 2014 and November 2015, autonomous vehicles in California that are made by Google did experience over 272 cases of failure and 13 near misses that were intervened by their human drivers[1]. Table 1: Showing disengagements
Google shared their report on the 1stof January 2016 that outlined that during the 14- month test period, a total of 49 Google autonomous cars travelled a distance of over 424000 miles suffering disengagements that are 341 in number[2]. The term is referred to as ‘manual disengagements’ by Google. The so called manual disengagements are what are analyzed as technological failure below.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
Technological failure analysis about self-driving cars The act of technological failures in self-driving cars occurs in the following ways: 1.The act of mapping for a self-driving car is at times next to impossible. Google’s autonomous cars tend to depend on the Global Positioning System (GPS) map data to give a precise account of their location. This will force Google to create and manage maps that are detailed in many nations of the world to ensure the success of autonomous cars. In 2016, Leon Musk was confident in saying that “by 2017 a Tesla vehicle would be able to perform a cross country trek in all the parts of the United States without the need a driver”[3]. This is an event that has not taken place up to now. Firms like Drive, Uber and Way Mo tend to operate in certain areas that have been mapped in a detailed manner. There is zero chance of the car self-driving to new areas as they don’t have such maps in their systems. 2.Hacking of self-driving cars Automated cars are delicate when it comes to even the minor of hacks. The results are devastating which include gridlock and even collisions that will affect traffic flow in cities even to a point of affecting emergency services. All manners of technologies appear to be problem free when they are introduced to the markets. For instance, the mathematical model that controls the AI of NVidia’s drive system tends to be a self-reliant mechanism, meaning that it doesn’t depend on the instructions that engineers and programmers give[3]. 3.Technological failures due to weather extremes Autonomous cars usually rely on certain system such as optical cameras as well as radar sensors to be able to navigate their way through any environment. Bad weather presents itself as the main hindrance to these navigates systems. As an example, Google self-driving cars have undergone testing in selected parts of California where the temperature is somewhat warm and
with minimum chances of snowy conditions. This means that the capabilities of these vehicles are limited to only sunny clear climates. Implications The implications are discussed in detail one after the other below; 1.Legal implications The insurance law is likely to change. Various sections of the traditional parameters of insurance will be altered and consequently we might see a shift for the user liability mode to the newly opened potential exclusions and limits. The security of vital data will be at stake. Autonomous vehicles tend to collect record and store all mannerism of data. If such data is improperly handled or even stolen the guarantee of right to privacy will be affected which is a factor that affects all humans[6]. In some instances, the intellectual property will be tampered with. Tesla, in some cases has applied a collaborative approach as it has publicly provided 200 of its battery tech patents. On the other hand, the Toyota firm has over 1400 patents about the technology of self-driving cars. Legally, there will be need to advise the clients who are in the process of product development in such a sphere more so concerning any cases that will ultimately result in patent infringement. There will be a new set of regulations and statutes due to the progress in technology that could alter the legislation of many nations. For instance, the department of motor vehicles as well as driver’s license will decline or cease to exist or decline and other forms of identification will be applied.
2. Technological implications The consumers expect a huge change in the design of self-driving cars. There is a proposal that all cars should be electric so as to be able to survive crashes in a similar manner. As a consequence of technological failures, these vehicles will only differ in appearance but will be technologically linked in one way or another[7]. The result of technological failures has already attracted a new set of players in the design and manufacturing of autonomous cars. Companies like Uber, Amazon and Google are trying to offer the best solutions than what is currently available in the markets[6].A special scenario like using highly distributed computing that forms some kind of block chain will counter the effects of hacking. Recommendations In cases of hacking, manufacturers should use the act of penetration testing. This process is systematic and is applied in trying to locate the weak points in the application of these systems. While conducting a penetration test, the mimic hacker usually copies how a hacker would act and check on the susceptible part without causing unnecessary damage[6]. This act is bound to enable the manufacturers offer more security features and makeself-driving cars less vulnerable to hackers. Similarly, many car manufacturers are in a rush to show case to the world their perfect self-driving cars. There is need in collaboration in sharing data and resources as a form of curbing cyber security attacks of autonomous cars. The act of collaboration would result in development of technology that is resilient that can manage in locking hackers out[5].
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
Lastly, there are some firms like Wave Sense which possess a ground scanning radar system that is used in locating and mapping the details of what is beneath a road and applies such data in detecting the exact location of moving car. The idea offered by Wave Sense is to be a solution in areas that more so experience bad weather. Conclusion What people are seeing and apprehending now in the automotive sector is just the iceberg tip. Underneath the surface lies vast areas that will reconstitute the industry that will attempt to make self-driving cars the only idea left standing when it comes to strategic mobility of the future. Self-driving cars have brought about a lot of debate all over the world more so in developed nations. Majority of the firms like Uber, Tesla and Volvo are manufacturing them while Google has an aim of making their own brand of self-driving cars that will be ready for the market by 2020. As humans wait for the arrival of the ultimate self-driving cars, there are a lot of steps to cover especially when it comes to matters that will address these technological failures.
References [1]L. Eliot, Introduction to driverless Self-Driving Cars, New york: LBE Press, 2018. [2]M. Fallon, Self Driving Cars: The New Way Foward, Minneapolis: Twenty-First Century Books, 2018. [3]L. Eliot, New Advances in AI Autonomous Driverless Self-Driving Cars, New York: LBE Press, 2017. [4]M. Kurman, Driverless: Intelligent Cars and the Road Ahead, Massachusetts: MIT Press, 2016. [5]H. Petroski, When Technology Fails, Michigan: Gale Research, 2015. [6]K. Marsico, Self Driving Cars, New York: C. Press/F. Watts Trade , 2016. [7]R. Jurgen, Autonomous vehicles for Safer Driving, Pennsylvania: SAE International, 2013. [8]F. George, The Failure of Technology, New York: Wiley, 2015.