scholarly journals An Overview of Lidar Imaging Systems for Autonomous Vehicles

2019 ◽  
Vol 9 (19) ◽  
pp. 4093 ◽  
Author(s):  
Santiago Royo ◽  
Maria Ballesta-Garcia
Keyword(s):  
Autonomous Vehicles ◽  
State Of The Art ◽  
Autonomous Vehicle ◽  
Single Point ◽  
Imaging Systems ◽  
Light Sources ◽  
Final Solution ◽  
Large Uncertainty ◽  
Current State ◽  
The Subject

Lidar imaging systems are one of the hottest topics in the optronics industry. The need to sense the surroundings of every autonomous vehicle has pushed forward a race dedicated to deciding the final solution to be implemented. However, the diversity of state-of-the-art approaches to the solution brings a large uncertainty on the decision of the dominant final solution. Furthermore, the performance data of each approach often arise from different manufacturers and developers, which usually have some interest in the dispute. Within this paper, we intend to overcome the situation by providing an introductory, neutral overview of the technology linked to lidar imaging systems for autonomous vehicles, and its current state of development. We start with the main single-point measurement principles utilized, which then are combined with different imaging strategies, also described in the paper. An overview of the features of the light sources and photodetectors specific to lidar imaging systems most frequently used in practice is also presented. Finally, a brief section on pending issues for lidar development in autonomous vehicles has been included, in order to present some of the problems which still need to be solved before implementation may be considered as final. The reader is provided with a detailed bibliography containing both relevant books and state-of-the-art papers for further progress in the subject.

scholarly journals Imitating a Safe Human Driver Behaviour in Roundabouts Through Deep Learning

2020 ◽  
Vol 19 (1) ◽  
pp. 85-88
Author(s):  
A. S. J. Cervera ◽  
F. J. Alonso ◽  
F. S. García ◽  
A. D. Alvarez
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Driver Behaviour ◽  
Safety Issues ◽  
Current State ◽  
Surrounding Environment ◽  
Human Driver ◽  
State Of The Environment

Roundabouts provide safe and fast circulation as well as many environmental advantages, but drivers adopting unsafe behaviours while circulating through them may cause safety issues, provoking accidents. In this paper we propose a way of training an autonomous vehicle in order to behave in a human and safe way when entering a roundabout. By placing a number of cameras in our vehicle and processing their video feeds through a series of algorithms, including Machine Learning, we can build a representation of the state of the surrounding environment. Then, we use another set of Deep Learning algorithms to analyze the data and determine the safest way of circulating through a roundabout given the current state of the environment, including nearby vehicles with their estimated positions, speeds and accelerations. By watching multiple attempts of a human entering a roundabout with both safe and unsafe behaviours, our second set of algorithms can learn to mimic the human’s good attempts and act in the same way as him, which is key to a safe implementation of autonomous vehicles. This work details the series of steps that we took, from building the representation of our environment to acting according to it in order to attain safe entry into single lane roundabouts.

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.

scholarly journals Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey

Robotics ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 67 ◽  
Author(s):  
Aakash Soni ◽  
Huosheng Hu
Keyword(s):  
Autonomous Vehicles ◽  
Formation Control ◽  
State Of The Art ◽  
Autonomous Vehicle ◽  
Ground Vehicles ◽  
Implementation Challenges ◽  
Autonomous Ground Vehicles ◽  
Vehicle Platooning ◽  
And Control

Autonomous/unmanned driving is the major state-of-the-art step that has a potential to fundamentally transform the mobility of individuals and goods. At present, most of the developments target standalone autonomous vehicles, which can sense the surroundings and control the vehicle based on this perception, with limited or no driver intervention. This paper focuses on the next step in autonomous vehicle research, which is the collaboration between autonomous vehicles, mainly vehicle formation control or vehicle platooning. To gain a deeper understanding in this area, a large number of the existing published papers have been reviewed systemically. In other words, many distributed and decentralized approaches of vehicle formation control are studied and their implementations are discussed. Finally, both technical and implementation challenges for formation control are summarized.

Needle Heating during High-Speed Sewing

1969 ◽  
Vol 39 (2) ◽  
pp. 101-120 ◽  
Author(s):  
S. P. Hersh ◽  
P. L. Grady
Keyword(s):  
High Speed ◽  
Quantitative Methods ◽  
State Of The Art ◽  
Review Of The Literature ◽  
Sewing Thread ◽  
Current State ◽  
Fabric Structure ◽  
Extensive Field ◽  
The Subject

A review of the literature and extensive field interviews have been conducted on the subject of needle heating in high-speed sewing. As a result of this investigation, a survey of the current state of the art and knowledge available in the field has been completed and is presented in the following categories: (1) the nature of the problem and the difficulties which arise in commercial operations; (2) quantitative methods of measuring needle temperatures; (3) the influence of machine factors such as sewing speed, length of sewing time, and needle design on the heat generated during sewing; (4) the influence of material factors such as fabric structure and finish, layers of fabric, and sewing thread on needle heating; (5) techniques for alleviating needle heating problems; and (6) the mechanism of generation and dissipation of heat in the sewing process. Some heretofore unpublished data are presented.

scholarly journals Assessing Sustainability in the Shipbuilding Supply Chain 4.0: A Systematic Review

2020 ◽  
Vol 12 (16) ◽  
pp. 6373 ◽  
Author(s):  
Magdalena Ramirez-Peña ◽  
Francisco J. Abad Fraga ◽  
Jorge Salguero ◽  
Moises Batista
Keyword(s):  
Systematic Review ◽  
Supply Chain ◽  
Scientific Community ◽  
State Of The Art ◽  
Current State ◽  
Enabling Technologies ◽  
Global Vision ◽  
The Subject ◽  
Key Enabling Technologies ◽  
Do So

The supply chain is currently taking on a very important role in organizations seeking to improve the competitiveness and profitability of the company. Its transversal character mainly places it in an unbeatable position to achieve this role. This article, through a study of each of the key enabling technologies of Industry 4.0, aims to obtain a general overview of the current state of the art in shipbuilding adapted to these technologies. To do so, a systematic review of what the scientific community says is carried out, dividing each of the technologies into different categories. In addition, the global vision of countries interested in each of the enabling technologies is also studied. Both studies present a general vision to the companies of the concerns of the scientific community, thus encouraging research on the subject that is focused on the sustainability of the shipbuilding supply chain.

A Dynamic Model for End Milling Using Single Point Cutting Theory

1996 ◽  
Vol 118 (2) ◽  
pp. 272-274 ◽  
Author(s):  
N. M. Kulkarni ◽  
A. Chandra ◽  
S. S. Jagdale
Keyword(s):  
Process Design ◽  
Dynamic Models ◽  
State Of The Art ◽  
End Milling ◽  
Single Point ◽  
Milling Process ◽  
Current State ◽  
Set Up ◽  
Force Characteristics ◽  
Hierarchy Of Models

The dynamics of a milling process can significantly influence the surface quality and integrity of the finished part. Accordingly, various researchers have investigated the dynamics of milling processes using a hierarchy of models. Tlusty and Smith (1991) provides a review of these models. In recent years, several other researchers (e.g., Armarego and Deshpande, 1989; Montgomery and Altintas, 1991; Nallakatla and Smith, 1992) have also continued to enhance various aspects of such dynamic models. While these dynamic models provide significant insights into the cutting characteristics of a milling process, their utilization in process design has proven to be elusive. The accuracy of these models, however, depends significantly on the prediction of cutting force characteristics. Under the current state-of-the-art, detailed experimentations using actual set-up are necessary to make such predictions accurately. Experimentally obtained constants can vary widely from one milling situation to another, which in turn, significantly restricts their usefulness as predictive tools for process design.

Slipping on Concrete: A Case Study

2009 ◽  
Author(s):  
Ralph L. Barnett ◽  
Adam A. E. Ziemba ◽  
Theodore Liber
Keyword(s):  
State Of The Art ◽  
Classical System ◽  
Modern Theory ◽  
Safety Study ◽  
Current State ◽  
Classical Criterion ◽  
Average Coefficient ◽  
Parking Lot ◽  
The Subject

The notion of slipperiness is rarely associated with a concrete walkway. The aggressive nature of this surface invariably satisfies the classical criterion of a safe floor. The case study described in this paper challenges this preconception. It involves a woman who enters an indoor stairwell of a parking lot and slips on the dry concrete landing while approaching the stairs with her arm outstretched to grasp the railing. The current state-of-the-art of human slipping provides this victim with no remedy at law. This paper presents a forensic and safety study that focuses on slip and fall. Slip is usually analyzed by a classical system that has no redeeming features. This protocol provides a go/no-go criterion that proclaims a walking surface safe if its interaction with a surrogate material (e.g. leather) produces an average coefficient of friction greater than 0.5. It turns out that many walkers slip on such mythical “safe” floors. The subject case adopts a modern theory of human slipping that quantitatively predicts the number of walkers who will slip on a given surface including concrete landings.

The mobile revolution – Machine intelligence for autonomous vehicles

2015 ◽  
Vol 57 (3) ◽  
Author(s):  
Markus Enzweiler
Keyword(s):  
Autonomous Vehicles ◽  
Large Scale ◽  
State Of The Art ◽  
Machine Intelligence ◽  
Open Problems ◽  
Research Directions ◽  
Current State ◽  
Transportation Behavior ◽  
Open Issues

AbstractWhat started as a distant vision just a few decades ago is quickly becoming reality. Autonomous vehicles are about to be deployed on a large scale and will fundamentally change our transportation behavior. In this particular application, extreme demands on reliability and quality give rise to numerous problems and open issues that need to be jointly identified and addressed by both academia and industry. In this article, we present an overview of the current state-of-the-art in the field of intelligent autonomous vehicles. We further discuss open problems and current research directions.

Autonomous driving in urban environments: approaches, lessons and challenges

2010 ◽  
Vol 368 (1928) ◽  
pp. 4649-4672 ◽  
Author(s):  
Mark Campbell ◽  
Magnus Egerstedt ◽  
Jonathan P. How ◽  
Richard M. Murray
Keyword(s):  
Autonomous Vehicles ◽  
New Technologies ◽  
State Of The Art ◽  
Autonomous Driving ◽  
Urban Environments ◽  
Vehicle Safety ◽  
Paper Briefly ◽  
The Past ◽  
Current State

The development of autonomous vehicles for urban driving has seen rapid progress in the past 30 years. This paper provides a summary of the current state of the art in autonomous driving in urban environments, based primarily on the experiences of the authors in the 2007 DARPA Urban Challenge (DUC). The paper briefly summarizes the approaches that different teams used in the DUC, with the goal of describing some of the challenges that the teams faced in driving in urban environments. The paper also highlights the long-term research challenges that must be overcome in order to enable autonomous driving and points to opportunities for new technologies to be applied in improving vehicle safety, exploiting intelligent road infrastructure and enabling robotic vehicles operating in human environments.

scholarly journals Behavior Identification and Prediction for a Probabilistic Risk Framework

2019 ◽  
Author(s):  
Jasprit S. Gill ◽  
Pierluigi Pisu ◽  
Venkat N. Krovi ◽  
Matthias J. Schmid
Keyword(s):  
Autonomous Vehicles ◽  
Adaptive Estimation ◽  
Autonomous Vehicle ◽  
Search Space ◽  
Complex Environments ◽  
Current State ◽  
Risk Framework ◽  
Detailed Simulation ◽  
The Right ◽  
State Of The Environment

Abstract Operation in a real world traffic requires the ability to plan motion in complex environments (multiple moving participants) from autonomous vehicles. Navigation through such environments necessitates the provision of the right search space for the trajectory or maneuver planners so that the safest motion for the ego vehicle can be identified. Analyzing risks based on the predicted trajectories of all traffic participants (given the current state of the environment and its participants) aids in the proper formulation of this search space. This study introduces a fresh taxonomy of safety and risk that an autonomous vehicle should be capable of handling. It formulates a reference system architecture for implementation as well as describes a novel way of identifying and predicting the behaviors of other traffic participants utilizing classic Multi Model Adaptive Estimation (MMAE). Detailed simulation results and a discussion about the associated tuning of the implemented model conclude this work.

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