Autonomous Vehicles

2022 ◽  
pp. 878-889
Author(s):  
Yair Wiseman
Keyword(s):  
Autonomous Vehicles ◽  
Steering Wheel ◽  
The World ◽  
Driverless Cars ◽  
One Step ◽  
Remote Controller

The first car was invented in 1870 by Siegfried Marcus. Actually, it was just a wagon with an engine but without a steering wheel and without brakes. Instead, it was controlled by the legs of the driver. Converting traditional vehicles into autonomous vehicles was not just one step. The first step was just 28 years after the invention of cars, that is to say 1898. This step's concept was moving a vehicle by a remote controller. Since this first step and as computers have been becoming advanced and sophisticated, many functions of modern vehicles have been converted to be entirely automatic with no need of even remote controlling. Changing gears was one of the first actions that could be done automatically without an involvement of the driver, so such cars got the title of “automatic cars”; however, nowadays there are vehicles that can completely travel by themselves although they are not yet allowed to travel on public roads in most of the world. Such vehicles are called “autonomous vehicles” or “driverless cars”.

Autonomous Vehicles

2021 ◽  
pp. 1-11
Author(s):  
Yair Wiseman
Keyword(s):  
Autonomous Vehicles ◽  
Steering Wheel ◽  
The World ◽  
Driverless Cars ◽  
One Step ◽  
Remote Controller

The first car was invented in 1870 by Siegfried Marcus. Actually, it was just a wagon with an engine but without a steering wheel and without brakes. Instead, it was controlled by the legs of the driver. Converting traditional vehicles into autonomous vehicles was not just one step. The first step was just 28 years after the invention of cars, that is to say 1898. This step's concept was moving a vehicle by a remote controller. Since this first step and as computers have been becoming advanced and sophisticated, many functions of modern vehicles have been converted to be entirely automatic with no need of even remote controlling. Changing gears was one of the first actions that could be done automatically without an involvement of the driver, so such cars got the title of “automatic cars”; however, nowadays there are vehicles that can completely travel by themselves although they are not yet allowed to travel on public roads in most of the world. Such vehicles are called “autonomous vehicles” or “driverless cars”.

scholarly journals Securing Personal Data using Block chain in Autonomous Vehicle

2019 ◽  
Vol 8 (4S2) ◽  
pp. 760-763
Keyword(s):  
Science Fiction ◽  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Personal Data ◽  
Testing Stage ◽  
The World ◽  
Driverless Cars ◽  
Block Chain ◽  
Manufacturing Stage

Autonomous vehicles like Driverless cars are seen only in science fiction movies but in 2019 they are becoming a veracity and reality. People all around the world are excited to watch the driverless car in reality. Complete driverless car is still at an advanced testing stage. An autonomous vehicle promises to improve traffic safety while at the same time it must not be prone to hacking. Even though the existence of the autonomous car is in reality there is a possibility of hackers to hack the vehicle and retrieve the precious data. To stop this kind of hacking we propose a block chain technique that safe guards the data that is fed to the autonomous car during the manufacturing stage and this cannot be deleted without proper permission.

Vision-Based Navigation of Autonomous Vehicles in Roadway Environments with Unexpected Hazards

2019 ◽  
Vol 2673 (12) ◽  
pp. 494-507 ◽  
Author(s):  
Mhafuzul Islam ◽  
Mashrur Chowdhury ◽  
Hongda Li ◽  
Hongxin Hu
Keyword(s):  
Object Detection ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Semantic Segmentation ◽  
Steering Wheel ◽  
Potential Hazard ◽  
Driving System ◽  
Hazardous Object ◽  
Vision Based Navigation ◽  
Navigational System

Vision-based navigation of autonomous vehicles primarily depends on the deep neural network (DNN) based systems in which the controller obtains input from sensors/detectors, such as cameras, and produces a vehicle control output, such as a steering wheel angle to navigate the vehicle safely in a roadway traffic environment. Typically, these DNN-based systems in the autonomous vehicle are trained through supervised learning; however, recent studies show that a trained DNN-based system can be compromised by perturbation or adverse inputs. Similarly, this perturbation can be introduced into the DNN-based systems of autonomous vehicles by unexpected roadway hazards, such as debris or roadblocks. In this study, we first introduce a hazardous roadway environment that can compromise the DNN-based navigational system of an autonomous vehicle, and produce an incorrect steering wheel angle, which could cause crashes resulting in fatality or injury. Then, we develop a DNN-based autonomous vehicle driving system using object detection and semantic segmentation to mitigate the adverse effect of this type of hazard, which helps the autonomous vehicle to navigate safely around such hazards. We find that our developed DNN-based autonomous vehicle driving system, including hazardous object detection and semantic segmentation, improves the navigational ability of an autonomous vehicle to avoid a potential hazard by 21% compared with the traditional DNN-based autonomous vehicle driving system.

Uniformity of Terminology for Circular Intersection Designs

2018 ◽  
Vol 2672 (34) ◽  
pp. 63-72
Author(s):  
Joe Gustafson
Keyword(s):  
United States ◽  
Autonomous Vehicles ◽  
Design Education ◽  
The United States ◽  
Road User ◽  
Policy Enforcement ◽  
Traffic Enforcement ◽  
Safe Operation ◽  
The World ◽  
Mixed Messages

Most transportation engineers around the world, and now in the United States, are relatively familiar with roundabouts and their operational and safety benefits. Although roundabouts are becoming increasingly common, drivers and even engineering professionals often contend with mixed messages about roundabout design and operation. In a world speckled with all manner of spiral roundabouts, signalized roundabouts, traffic circles, gyratories, and rotaries, is it any wonder that confusion, and public resistance, often persists? These mixed messages may represent the greatest hurdle to implementation, public acceptance, and safe operation of multi-lane roundabouts in particular. Within North America and across the globe, circular intersection designs that appear relatively similar to users can in fact require significantly different driver behaviors, depending on whether they are configured with a continuous circle road or a network of crossing roadways. This distinction can be of critical importance for roadway designers and agencies, elected officials and other policymakers, road user education and licensing, traffic enforcement, mapping and GPS navigation, and safe operation of autonomous vehicles. This paper aims to provide an overview of existing definitions, explore the nature of conflict points for each design, provide a framework modeling method for analysis, and provide globally applicable definitions for roundabout features for use in design, education, policy, enforcement, and research. This paper is focused primarily on roundabout design guidance and operations within the United States, but places these practices within the global context, such that the definitions and analyses provided can be applied to all forms of roundabout intersections around the world.

The Exploration of Autonomous Vehicles

2022 ◽  
pp. 930-944
Author(s):  
Anthony J. Gephardt ◽  
Elizabeth Baoying Wang
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Intelligent Agents ◽  
Autonomous Vehicles ◽  
Learning Processes ◽  
Artificial Intelligent ◽  
The World ◽  
History Of ◽  
The Creation

This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first production automobile came about in 1885. The chapter dives into the history of auto safety, ranging from seatbelts to full-on autonomous features. One of the main focuses is the creation and implementation of artificial intelligent (AI), neural networks, intelligent agents, and deep Learning Processes. Combining the hardware on the vehicle with the intelligence of AI creates what we know as autonomous vehicles today.

Down-to-Earth Utopians

2020 ◽  
pp. 75-96
Author(s):  
Ronald W. Schatz
Keyword(s):  
The Other ◽  
Teaching Writing ◽  
Karl Mannheim ◽  
Clark Kerr ◽  
The World ◽  
The Future ◽  
One Step ◽  
German Sociologist ◽  
The U.S ◽  
Over Time

The Labor Board vets insisted that they were always realistic and had no ideological convictions of any kind. This chapter argues that such a characterization is not accurate. Clark Kerr, John Dunlop, and the other veterans of the board’s staff were in truth utopians—not utopians as that term is usually imagined, but liberal reformers who believed that they could transform the world over time, one step at a time. The famous German sociologist Karl Mannheim termed that mindset “liberal-humanitarian utopian.” The chapter looks back to their youth to explain how they came to that worldview and how unarticulated utopian beliefs pervaded their teaching, writing, and other work. The chapter concludes with the prediction advanced by Clark Kerr, John Dunlop, Charles Myers, and Frederick Harbison that the U.S. and Soviet systems would converge in the future--a conviction that appeared realistic in the latter 1980s and the early 1990s.

Why Buy That Theory?

2012 ◽  
Author(s):  
Roald Hoffmann
Keyword(s):  
Scientific Community ◽  
Physical Phenomenon ◽  
Platonic Solid ◽  
Orbital Symmetry ◽  
Theory Of Evolution ◽  
Simple Theories ◽  
Sigmatropic Shift ◽  
The World ◽  
One Step ◽  
Synthetic Chemist

The theory of theories goes like this: A theory will be accepted by a scientific community if it explains better (or more of) what is known, fits at its fringes with what is known in other parts of our universe, and makes verifiable, preferably risky, predictions. Sometimes it does go like that. So the theory that made my name (and added to the already recognized greatness of the man with whom I collaborated, the synthetic chemist of the 20th century, R. B. Woodward) did make sense of many disparate and puzzling observations in organic chemistry. And “orbital symmetry control,” as our complex of ideas came to be called, made some risky predictions. I remember well the day that Jerry Berson sent us his remarkable experimental results on the stereochemistry of the so- called 1,3-sigmatropic shift . It should proceed in a certain way, he reasoned from our theory—a non-intuitive way. And it did. But much that goes into the acceptance of theories has little to do with rationalization and prediction. Instead, I will claim, what matters is a heady mix of factors in which psychological attitudes figure prominently. A simple equation describing a physical phenomenon (better still, many), the molecule shaped like a Platonic solid with regular geometry, the simple mechanism (A→B, in one step)—these have tremendous aesthetic appeal, a direct beeline into our soul. They are beautifully simple, and simply beautiful. Theories of this type are awesome in the original sense of the word—who would deny this of the theory of evolution, the Dirac equation or general relativity? A little caution might be suggested from pondering the fact that political ads patently cater to our psychobiological predilection for simplicity. Is the world simple? Or do we just want it to be such? In the dreams of some, the beauty and simplicity of equations becomes a criterion for their truth. Simple theories seem to validate that idol of science, Ockham’s Razor. In preaching the poetic conciseness and generality of orbital explanations, I have succumbed to this, too.

The Changing Global Landscape With Emerging Technologies and Their Implications for Smart Societies

2021 ◽  
pp. 402-423
Author(s):  
Patrice Seuwou ◽  
Vincent F. Adegoke
Keyword(s):  
Autonomous Vehicles ◽  
Rapid Evolution ◽  
Digital Technologies ◽  
The Internet ◽  
Privacy Rights ◽  
Modern Life ◽  
The World ◽  
The Internet Of Things ◽  
Mass Surveillance

The opportunities offered by digital technology are enormous. The global social and economic system is being reconfigured at an incredible rate. Connectivity is increasingly reshaping our world and redefining the way we interact with our environment. The rise of digital technologies is transforming almost every aspect of modern life. More and more of our interactions are mediated by machines. Along with the rapid evolution comes the risks, threats, and vulnerabilities in the system for those who plan to exploit it. In this chapter, firstly, the authors explore the role of 5G, big data, the internet of things (IoT), artificial intelligence (AI), autonomous vehicles (AV), and cloud computing play in the context of smart societies; secondly, they analyse how the synergy between these technologies will be used by governments and other stakeholders around the world to improve the safety of citizens albeit increasingly relinquishing privacy rights and encouraging mass surveillance at the expense of liberty.

Meta-Regulation of Private Standards: The Role of Regional and International Organizations in Comparison with the WTO

2020 ◽  
pp. 1-24
Author(s):  
Yoshiko Naiki
Keyword(s):  
International Organizations ◽  
World Trade ◽  
Regulatory Function ◽  
Soft Law ◽  
Trade Law ◽  
International Trade Law ◽  
Private Standards ◽  
The World ◽  
One Step

Abstract The rise and proliferation of private standards have been recognized in international trade law, and various concerns have been raised. Existing literature analyses how the World Trade Organization (WTO), particularly the SPS (Sanitary and Phytosanitary) Committee and the TBT (Technical Barriers to Trade) Committee, have responded (or cannot respond) to the proliferation of private standards. This paper goes one step further by focusing specifically on the meta-regulatory function performed by regional and international organizations other than the WTO. This paper sheds light on three types of governance techniques that can serve as meta-regulatory activities in relation to private standards by regional and international organizations: (1) governance by delegation; (2) governance by information; and (3) governance by soft law. This paper analyses features of these governance techniques and considers the relation between these governance techniques and the WTO's approach.

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