Examining the Sensors That Enable Self-Driving Vehicles

Scientific Journal of Silesian University of Technology. Series Transport, 2018

The work was dedicated to the subject of innovative autonomous vehicles on the transport market. The paper presents basic information about autonomous cars: a nomenclature characteristic of autonomous vehicles, along with the terms “automatic”, “autonomous”, “self-drive” and “driverless”. The article also presents various types of autonomous cars based on the most popular classifications in the world. The purpose of the work is to present basic issues related to autonomous vehicles.

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.

IOP Conference Series: Materials Science and Engineering, 2017

Nowadays the automotive industry makes a quantum shift to a future, where the driver will have smaller and smaller role in driving his or her vehicle ending up being totally excluded. In this paper, we have investigated the different levels of driving automatization, the prospective effects of these new technologies on the environment and traffic safety, the importance of regulations and their current state, the moral aspects of introducing these technologies and the possible scenarios of deploying the autonomous vehicles. We have found that the self-driving technologies are facing many challenges: a) They must make decisions faster in very diverse conditions which can include many moral dilemmas as well; b) They have an important potential in reducing the environmental pollution by optimizing their routes, driving styles by communicating with other vehicles, infrastructures and their environment; c) There is a considerable gap between the self-drive technology level and the current regulations; fortunately, this gap shows a continuously decreasing trend; d) In case of many types of imminent accidents management there are many concerns about the ability of making the right decision. Considering that this field has an extraordinary speed of development, our study is up to date at the submission deadline. Self-driving technologies become increasingly sophisticated and technically accessible, and in some cases, they can be deployed for commercial vehicles as well. According to the current stage of research and development, it is still unclear how the self-driving technologies will be able to handle extreme and unexpected events including their moral aspects. Since most of the traffic accidents are caused by human error or omission, it is expected that the emergence of the autonomous technologies will reduce these accidents in their number and gravity, but the very few currently available test results have not been able to scientifically underpin this issue yet. The increasing trend in automation of vehicles will radically change the composition of car industry players, as mechatronics will not only be a complementary part of the automobile industry but an indispensable part of it. There is a reasonable expectation that automated cars will perform the same or better in all respects than their conventional counterparts. However, it seems that the current regulations do not keep up with the development of technology and sometimes hinder the development and testing of autonomous technologies.

IRJET, 2020

Cars have become increasingly safe and convenient since the rise of the commercial automobile industry in late 1980s. Recently car makers have begun to introduce advance driver-assistance systems such as adaptive cruise control (which automates accelerating and braking) and active lane assist (which automates steering). Researches in autonomous cars has progressed remarkably over the years and it has been found that these systems are capable enough that the new vehicles can drive themselves in slow-moving highway traffic. In 2010, four driverless vans traveled from Italy to China. In August of 2012, Google announced that its self-driving cars had completed over 300,000 miles of accident-free autonomous driving. The Electric Automobile company, Tesla Motors came up with its first autonomous car Tesla Model X. Although self-driving cars may still seem like science fiction, many auto suppliers, and carmakers project that fully autonomous cars will be available before 2020. This report begins by describing the landscape and key players in the self-driving car market. Current capabilities as well as limitations and opportunities of key enabling technologies are reviewed, along with a discussion on the impact of such advances on society and the environment. This report also reviews legal and regulatory uncertainties. Finally, predictions about changes in the car-industry are made.

Tehnika, 2021

The objective of this paper is to examine the types of autonomous vehicles already employed in transportation. It exemplifies the segments of transportation which already use autonomous vehicles. This paper gives an insight of the places in the world where autonomous vehicles are put in use. Furthermore, companies such as Volvo, Volkswagen, Airbus and WAYMO have showed their models of driverless vehicles ranging from trucks, buses, shuttles and helicopters. Moreover, the paper provides a description, testing methods, use and features of the each vehicle presented. In short, this paper aims to raise consciousness about the future of not just public transportation but also transportation of any other type such as good’s transportation, delivery, vehicles provided for sightseeing, aircrafts etc.

IFAC Proceedings Volumes, 2004

A bstract: I n this paper we discuss the modifications made to a standard automobi le in order to enable autonomous maneuvering. The configuration is tested by means of a parallel parking procedure. The control architecture consists of an off-line trajectory planner and a real-time motion controller. The generated trajectory to be followed is based on radar range data. The parking trajectory is evaluated by solving the inverse kinematics of the parking procedure. The developed controller and algorithmic is then experimentally verified on an automobile.

International Journal for Research in Applied Science & Engineering Technology, 2021

Machine Language is being used in technological advancement in all the domains nowadays, automotive domain being one of them. But practically implementing the ML has its own challenges in the automotive domain since it concerns the lives of people in the car, pedestrians and other vehicles. Even though AI had been in existence for long, the challenges are so high that still we are not in a stage where Level 5 autonomous cars can be deployed in any part of the globe. Here we look into the various challenges faced in the Autonomous cars and different implementations performed.

2013