Future Blockchain Technology for Autonomous Applications/Autonomous Vehicle

2022 ◽  
pp. 1027-1038
Author(s):  
Arnab Kumar Show ◽  
Abhishek Kumar ◽  
Achintya Singhal ◽  
Gayathri N. ◽  
K. Vengatesan
Keyword(s):  
Autonomous Vehicles ◽  
New Technology ◽  
Autonomous Vehicle ◽  
The Self ◽  
Third Party ◽  
Traffic Information ◽  
Online Transactions ◽  
The Third ◽  
Blockchain Technology ◽  
Self Driving Cars

The autonomous industry has rapidly grown for self-driving cars. The main purpose of autonomous industry is trying to give all types of security, privacy, secured traffic information to the self-driving cars. Blockchain is another newly established secured technology. The main aim of this technology is to provide more secured, convenient online transactions. By using this new technology, the autonomous industry can easily provide more suitable, safe, efficient transportation to the passengers and secured traffic information to the vehicles. This information can easily gather by the roadside units or by the passing vehicles. Also, the economical transactions can be possible more efficiently since blockchain technology allows peer-to-peer communications between nodes, and it also eliminates the need of the third party. This chapter proposes a concept of how the autonomous industry can provide more adequate, proper, and safe transportation with the help of blockchain. It also examines for the possibility that autonomous vehicles can become the future of transportation.

Future Blockchain Technology for Autonomous Applications/Autonomous Vehicle

2021 ◽  
pp. 165-177
Author(s):  
Arnab Kumar Show ◽  
Abhishek Kumar ◽  
Achintya Singhal ◽  
Gayathri N. ◽  
K. Vengatesan
Keyword(s):  
Autonomous Vehicles ◽  
New Technology ◽  
Autonomous Vehicle ◽  
The Self ◽  
Third Party ◽  
Traffic Information ◽  
Online Transactions ◽  
The Third ◽  
Blockchain Technology ◽  
Self Driving Cars

The autonomous industry has rapidly grown for self-driving cars. The main purpose of autonomous industry is trying to give all types of security, privacy, secured traffic information to the self-driving cars. Blockchain is another newly established secured technology. The main aim of this technology is to provide more secured, convenient online transactions. By using this new technology, the autonomous industry can easily provide more suitable, safe, efficient transportation to the passengers and secured traffic information to the vehicles. This information can easily gather by the roadside units or by the passing vehicles. Also, the economical transactions can be possible more efficiently since blockchain technology allows peer-to-peer communications between nodes, and it also eliminates the need of the third party. This chapter proposes a concept of how the autonomous industry can provide more adequate, proper, and safe transportation with the help of blockchain. It also examines for the possibility that autonomous vehicles can become the future of transportation.

scholarly journals Self-driving cars and liability in traffic - reality or fiction?

2018 ◽  
pp. 769-776
Author(s):  
Natasa Tomic-Petrovic
Keyword(s):  
Autonomous Vehicles ◽  
Technological Development ◽  
Autonomous Vehicle ◽  
Legal Framework ◽  
The Self ◽  
Public And Private ◽  
The Public ◽  
Private Transportation ◽  
Self Driving Cars ◽  
The City

Self-driving vehicles are considered to be the technology that will change the city, public and private transportation, as well as the concept of mobility in general. The great obstacle to self-driving vehicles are legal conditions, although the situation in this area is slowly changing. It is indeed true that producers need to gain more experience in testing vehicles without a driver on public roads before this technology is offered to the general public. The expansion of autonomous vehicles will depend on the public belief that the self-driving cars are considerably safer than those manually-controlled. Lawmakers intercede in favor of a balance between security and technological development. There should not be place for unsafe technologies on the roads, but the solution is not to prevent the easier way for vehicles that improve safety to reach consumers. If a man is not driving the vehicle, that appoints responsibility to the manufacturer of the self-driving operating system of the car in the event of a collision. Clarification of the blame for the accident will sometimes entail complex issues of allocating responsibility of man as the driver and those who provide technology of autonomous vehicle. The issue of privacy of the owner is also one of the current ones, because these data could be misused. Protection of privacy of the passenger should be in balance with the gain that the utilization of data brings. Self-driving cars may have to wait if the existing legal framework does not offer sufficient legal certainty.

Pedestrians, Autonomous Vehicles, and Cities

2016 ◽  
Vol 38 (1) ◽  
pp. 6-12 ◽  
Author(s):  
Adam Millard-Ball
Keyword(s):  
Travel Behavior ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Urban Neighborhoods ◽  
Urban Traffic ◽  
Risk Averse ◽  
Strategic Interactions ◽  
Road Users ◽  
Self Driving Cars ◽  
Time Autonomous

Autonomous vehicles, popularly known as self-driving cars, have the potential to transform travel behavior. However, existing analyses have ignored strategic interactions with other road users. In this article, I use game theory to analyze the interactions between pedestrians and autonomous vehicles, with a focus on yielding at crosswalks. Because autonomous vehicles will be risk-averse, the model suggests that pedestrians will be able to behave with impunity, and autonomous vehicles may facilitate a shift toward pedestrian-oriented urban neighborhoods. At the same time, autonomous vehicle adoption may be hampered by their strategic disadvantage that slows them down in urban traffic.

scholarly journals Self-Driving Cars and Criminal Liability

2020 ◽  
Vol 17 (3-4) ◽  
Author(s):  
Béla Csitei
Keyword(s):  
Autonomous Vehicles ◽  
Criminal Liability ◽  
Autonomous Vehicle ◽  
Essential Elements ◽  
Criminal Sanction ◽  
Criminal Offence ◽  
The Subject ◽  
Definition Of ◽  
Self Driving Cars

After clarifying the concepts of automated and autonomous vehicles, the purpose of the study is to investigate how reasonable the criminal sanction is arising from accidents caused by autonomous vehicles. The next question to be answered is that the definition of the crime according to the Hungarian law may be applied in case of traffic related criminal offences caused by automated and autonomous vehicles. During my research I paid special attention to two essential elements of criminal offence, namely the human act and guilt. Furthermore, I strived for finding solution for the next problem, as well: if the traffic related criminal offence is committed by driving an autonomous vehicle, how to define the subject of criminal liability.

The Study of Online Recharging for Campus Cards Based on the Third-Party Payment Platform

2014 ◽  
Vol 926-930 ◽  
pp. 2253-2258
Author(s):  
Hui Lin Zhang ◽  
Yu Zhang ◽  
Wen Feng Zhong ◽  
Ming Yuan Li
Keyword(s):  
Business Processes ◽  
The Self ◽  
Third Party ◽  
Fund Flows ◽  
The Third ◽  
Self Help ◽  
The Third Party

In order to enrich campus card recharging methods and improve the cardholders experience, this paper first briefly introduces the campus card online recharging modes based on the third-party payment platform, then analyzes the business processes of the self-help recharging mode and the automatic recharging mode, introduces the validation processes of the transactions, and expounds the fund flows and the double reconciliation mechanism at last.

Current Developments in Autonomous Vehicle Policy in the United States: Federalism’s Influence in State and National Regulatory Law and Policy

Global Jurist ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Christopher Salatiello ◽  
Troy B. Felver
Keyword(s):  
United States ◽  
Autonomous Vehicles ◽  
New Technologies ◽  
Autonomous Vehicle ◽  
The United States ◽  
Great Promise ◽  
Maximum Benefit ◽  
Regulatory Law ◽  
Regulatory Bodies ◽  
Self Driving Cars

Abstract With the advent of autonomous vehicles, especially self-driving cars, there is great promise for society. However, cars are not islands; they operate in a community of vehicles. Laws and regulations are crafted to allow the maximum benefit for the community while imposing the fewest costs. Unfortunately, a full accounting of these benefits and costs is not entirely clear at promulgation. Because the technologies and how they will be used are so uncertain, regulatory bodies have to try to build on what they have done in the past, sometimes successfully and sometimes unevenly. This paper will examine several regulatory attempts involving these new technologies in the United States, both on the federal and state levels. Also considered will be the interaction of these regulations under a federal system with defined and specific responsibilities for both sovereigns. A view on future developments is provided to gauge the directions additional regulation could take. Finally, generalizable lessons from this approached will be summarized.

scholarly journals Hololens Used for Precise Position Tracking of the Third Party Devices - Autonomous Vehicles

2019 ◽  
Vol 21 (2) ◽  
pp. 18-23
Author(s):  
Jindrich Cyrus ◽  
David Krcmarik ◽  
Reza Moezzi ◽  
Jan Koci ◽  
Michal Petru
Keyword(s):  
Autonomous Vehicles ◽  
Complex Space ◽  
Autonomous Driving ◽  
Real Space ◽  
Third Party ◽  
Location Information ◽  
Position Tracking ◽  
Precise Position ◽  
The Third ◽  
Localization And Mapping

A completely new area of HoloLens usage is proposed. The Hololens is an augmented reality device, which provides the high precision location information. Such an information is normally used to accurately position holograms within the real space with respect to the viewer (user of HoloLens). The information is precise enough to use it for reporting the position for the purpose of autonomous driving. Several experiments have been executed in vast areas (20 m x 40 m) in order to find out the potential error coming from vibrations or other effects when moving the HoloLens. The results show that the technology can be used for spaces, which are previously known by the system - pre-scan of the space is needed. The big advantage of the system is its readiness for indoor positioning applications with no additional infrastructure needed, simultaneous localization and mapping, complex space mapping and reached precision. The disadvantage is mainly the costs.

Competition in the Multi-Channel Supply Chain with a Self-Logistics-type E-Platform

2020 ◽  
Vol 13 (1) ◽  
pp. 32-72
Author(s):  
Yue Wen ◽  
Yongbo Wang ◽  
MingJun Shi
Keyword(s):  
Supply Chain ◽  
The Self ◽  
Third Party ◽  
Logic Tree ◽  
Channel Conflict ◽  
The Third ◽  
Optimal Decisions ◽  
System Equilibrium ◽  
New Form ◽  
Key Questions

Self-logistics-type e-platforms have enjoyed a rapid growth. In sales, some of them only serve as a service provider, matching buyers with sellers. But some of them have become a seller, selling directly to the customer. In logistics, some of them do not open the self-logistics to the third-party sellers, but some of them do open. As a result, a new form of channel conflict emerged. Therefore, the authors consider a self-logistics-type e-platform, who can sell directly to consumers; and a single retailer, who sells through the e-platform without self-logistics, but who may choose to contract with e-platform to deliver its products through the self-logistics. Thus, key questions for the e-platform are whether to sell directly to the customer; if they sell, the decision is whether to deliver the products through self-logistics and whether to open the self-logistics. To solve these questions, the optimal decisions of the retailer and self-logistics-type e-platforms and the system equilibrium results are analyzed under different situations. Finally, the logic tree to get the overall equilibrium is obtained.

Witness of Things

2019 ◽  
Vol 7 (2) ◽  
pp. 72-87 ◽  
Author(s):  
Serkan Ayvaz ◽  
Salih Cemil Cetin
Keyword(s):  
Autonomous Vehicles ◽  
Vehicular Networks ◽  
Autonomous Vehicle ◽  
Content Type ◽  
Record Keeping ◽  
Vehicle To Vehicle ◽  
Autonomous Cars ◽  
Vehicle To Infrastructure ◽  
Governmental Institutions ◽  
Self Driving Cars

Purpose The purpose of this paper is to develop a model for autonomous cars to establish trusted parties by combining distributed ledgers and self-driving cars in the traffic to provide single version of the truth and thus build public trust. Design/methodology/approach The model, which the authors call Witness of Things, is based on keeping decision logs of autonomous vehicles in distributed ledgers through the use of vehicular networks and vehicle-to-vehicle/vehicle-to-infrastructure (or vice versa) communications. The model provides a single version of the truth and thus helps enable the autonomous vehicle industry, related organizations and governmental institutions to discover the true causes of road accidents and their consequences in investigations. Findings In this paper, the authors explored one of the potential effects of blockchain protocol on autonomous vehicles. The framework provides a solution for operating autonomous cars in an untrusted environment without needing a central authority. The model can also be generalized and applied to other intelligent unmanned systems. Originality/value This study proposes a blockchain protocol-based record-keeping model for autonomous cars to establish trusted parties in the traffic and protect single version of the truth.

scholarly journals A Brief Survey on SLAM Methods in Autonomous Vehicle

2018 ◽  
Vol 7 (4.27) ◽  
pp. 38 ◽  
Author(s):  
Talha Takleh Omar Takleh ◽  
Nordin Abu Bakar ◽  
Shuzlina Abdul Rahman ◽  
Raseeda Hamzah ◽  
Zalilah Abd Aziz
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Simultaneous Localization And Mapping ◽  
General Concept ◽  
Research Community ◽  
Current Trends ◽  
Localization And Mapping ◽  
Pros And Cons ◽  
Self Driving Cars

The overall purpose of this paper is to provide an introductory survey in the area of Simultaneous Localization and Mapping (SLAM) particularly its utilization in autonomous vehicle or more specifically in self-driving cars, especially after the release of commercial semi-autonomous car like the Tesla vehicles as well as the Google Waymo vehicle. Before we begin diving into the concept of SLAM, we need to understand the importance of SLAM and problems that expand to the various methods developed by numerous researchers to solve it. Thus, in this paper we will start by giving the general concept behind SLAM, followed by sharing details of its different categories and the various methods that form the SLAM function in today’s autonomous vehicles; which can solve the SLAM problem. These methods are the current trends that are widely focused in the research community in producing solutions to the SLAM problem; not only in autonomous vehicle but in the robotics field as well. Next, we will compare each of these methods in terms of its pros and cons before concluding the paper by looking at future SLAM challenges. 

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