The Study on Innovation, Development and Implementation of the Self-driving Car (original) (raw)
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Survey on Self Driving Vehicle
2020
In this paper we have done survey about the technology of self-driving vehicles also known as autonomous vehicles. Along with this we are going to summarize the future of technology based on benefits and problems. In between the process we also found some important levels of this technology. This idea is already implemented in many foreign countries. And it has been proved worthful and successful also. So here, we will discuss about some of the basic info about this technology, levels, impacts, some communication on this topic in other countries along with the final conclusion. That whether it should be implemented more or not and our analysis shows that there is a huge scope in future with the advancement in technology day by day. Finally, it concludes a positive response to this autonomous technology.
Design and implementation of self-driving car
Procedia Computer Science, 2020
Self-driving technology in general is becoming increasingly common and could revolutionize our transportation system. Also, selfdriving cars are on their way of being legal, but they still are not trusted enough to be used in real life due to a lack of their safety. In this paper, a self-driving car prototype is proposed which integrates between different technologies including some algorithms which are Road lane detection algorithm, disparity map algorithm to detect the distance between the car and other vehicles, and Anomalies detection using Support Vector Machine classification algorithm as it achieved a very high accuracy using our data set. To test the car prototype, a special road environment was built to fit the car. Using the disparity map algorithm and merging between these algorithms will result in achieving safety and reliability for the self-driving technology.
International Journal for Research in Applied Science and Engineering Technology IJRASET, 2020
The field of autonomous car is of great interest to researchers, and much has been accomplished in this area, of which this paper presents a detailed chronology and developing a self driving car prototype. This paper can help one to understand the trends in autonomous vehicle technology and we also build a prototype of a self driving car .The car is built using all the essential blocks including the navigation, compass, sensor, odometer and classifier blocks and we also see how these blocks communicate with each other to make the car autonomous. In this project we explore many technical fields including Artificial Intelligence, Deep Learning and neural networks, Database Management, Android app development and use of microcontrollers to build our self-driving car. The implementation of this idea into the real world would result in a vast number of advantages. Prevention of accidents, a huge revolution in cost of transportation, a god solution to death of 1.3 million people worldwide death due to car accidents, are few advantages of this idea.
2020
The autonomous Vehicles are focused to change the Human Lifestyle. In the field of automobile, to make a Vehicle autonomous various fields are considered. Google and Tesla, has already started working on the self-driving cars since 2010 and still developing new changes to give a whole new level to the automated vehicles. In this paper we have focused on certain applications of an automated car, the one pair of tire will remain on the same direction while the other will decide the direction of the car. The self-driving car drive automatically during the traffic hence relaxing driver from continuously pushing brake, accelerator or clutch. The one aspect here under consideration is making the destination dynamic, this idea has been taken from the Google car described in this paper, defining. This can be done by a vehicle automatically sensing the obstacles nearby it. Taking intelligent decisions in the traffic can also be an issue for the automated vehicle.
Case Study on the Implementation of the Autonomous Driving Systems
NWSA Academic Journals, 2019
This paper presents the basics of autonomous vehicle as well as technologies that enable a vehicle to be self-driving. Taking into the consideration the fact the major causes of traffic accidents are by human errors, with the application of intelligent vehicle systems would be a great help to go to the "zero vision" of life losses in traffic accidents. According to traffic accident statistics, 75% or more of fatal accidents have been caused by human factors such as: lack of attention, stress, loss of orientation, fatigue, health condition, etc. In 24% of cases unexpected behaviors causes traffic accidents and only 0.7% of them are due to technological failures. For this reason, the potential of driver assistance and active safety systems that support the driver in complicated traffic situations is much higher when compared to passive safety. From this perspective it can be seen that with the construction of a self-driving vehicle, 75% of cases of fatality are likely to have a significant decrease in the percentage of life-loss in total number of traffic accidents. On the other side technological errors that affect the occurrence of fatal accidents may have a slight increase but all this based on the prejudice that in future there will be more vehicles with intelligent systems failures that may occur in disfunctional system.
A brief study of operation autonomous vehicles
Autonomous vehicles are also commonly known as selfdriving vehicles, which do not require human involvement in order to operate or control themselves. In recent years, advancement in automotive thinking have improved but still require human input, depending on the degree of automation[1]. Experts expect vehicles to be able to drive themselves within 3-7 years. This paper describes the current state, the latest trends and the study of self-driving cars in the automotive industry[2]. A detailed analysis of the technology used by automotive vehicles to feel their position and the degree of automation in such vehicles is also included. As the widespread acceptance of self-driving vehicles is considered inevitable, so the need for specific technical and legal guidelines will be essential for a safe and conflict-free journey. Potential concerns about autonomous vehicles should be discarded with safe policies and technologies as discussed in the paper[3].
arXiv (Cornell University), 2019
We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system that can be categorized as SAE level 3 or higher. The architecture of the autonomy system of self-driving cars is typically organized into the perception system and the decision-making system. The perception system is generally divided into many subsystems responsible for tasks such as self-driving-car localization, static obstacles mapping, moving obstacles detection and tracking, road mapping, traffic signalization detection and recognition, among others. The decision-making system is commonly partitioned as well into many subsystems responsible for tasks such as route planning, path planning, behavior selection, motion planning, and control. In this survey, we present the typical architecture of the autonomy system of self-driving cars. We also review research on relevant methods for perception and decision making. Furthermore, we present a detailed description of the architecture of the autonomy system of the self-driving car developed at the Universidade Federal do Espírito Santo (UFES), named Intelligent Autonomous Robotics Automobile (IARA). Finally, we list prominent self-driving car research platforms developed by academia and technology companies, and reported in the media.
A Review on Fully Autonomous Vehicle
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a review and recent development in the domain of autonomous vehicle.
IRJET - Faith in Autonomous Cars: Exploring Importance of Self-Driving Cars
IRJET, 2020
In this era, the vehicles are focused to be automated to offer human driver relaxed driving. In the field of automobile, various aspects are considered which makes a vehicle automated. The purpose of this study is to investigate the key factors influencing the adoption of autonomous cars. In this paper, the key technologies in self-driving car are discussed. This paper also highlights the working mechanism, advantages and disadvantages of these technologies in the light of safety improvement, especially on highway or freeway facilities. Finally, the debates of self-driving car are discussed and therefore the development trend of self-driving car is predicted.
Ymer, 2022
Due to the very dynamic environment and difficult to perform a required system in the vast range of situations that it may meet after deployment, developing a controller for autonomous cars capable of giving appropriate performance across all driving conditions is tough. Artificial intelligence technologies, on the other hand, have showed considerable promise in terms of not only delivering exceptional results for difficult and non-linear control issues, but also in generalizing previously taught principles to new circumstances. Artificial intelligence for vehicle control has become progressively popular as a result of these factors. Although much progress has been made in this sector, these efforts have yet to be properly described. This study reviews a wide range of research studies that have been published in the literature that attempt to operate a vehicle using artificial intelligence in self-driving cars. Unlike other review studies, we look at the theory behind self-driving vehicles from an artificial intelligence standpoint, as well as contemporary implementations and critical assessments.