scholarly journals An Overview on the Current Status and Future Perspectives of Smart Cars

2020 ◽  
Vol 5 (7) ◽  
pp. 53 ◽  
Author(s):  
Fabio Arena ◽  
Giovanni Pau ◽  
Alessandro Severino

In recent years, the smart car sector has been increasing enormously in the Internet of Things (IoT) market. Furthermore, the number of smart cars seems set to increase over the next few years. This goal will be achieved because the application of recent IoT technologies to the automotive sector opens up innovative opportunities for the mobility of the future, in which connected cars will be more and more prominent in smart cities. This paper aims to provide an overview of the current status and future perspectives of smart cars, taking into account technological, transport, and social features. An analysis concerning the approaches to making smart a generic car, the possible evolutions that could occur in the coming decades, the characteristics of 5G, ADAS (advanced driver assistance systems), and the power sources is carried out in this paper.

2014 ◽  
Vol 6 (4) ◽  
pp. 6-22 ◽  
Author(s):  
Klaus Bengler ◽  
Klaus Dietmayer ◽  
Berthold Farber ◽  
Markus Maurer ◽  
Christoph Stiller ◽  
...  

2021 ◽  
Vol 2061 (1) ◽  
pp. 012128
Author(s):  
A I Markovnina ◽  
N D Tsyganov ◽  
A V Papunin ◽  
V S Makarov ◽  
V V Belyakov

Abstract The problem of ensuring road safety affects all elements of the Driver-Car-Road-Environment system. Smart cars equipped with enough traffic assistants can significantly improve road safety. Active vehicle safety systems, including intelligent driver assistance systems and assistants, perform similar road safety functions. With all the variety of possibilities for equipping cars with systems complexes, the need arises to assess the feasibility and profitability of installing a particular complex of systems. For this, it is proposed to apply the methods of multi-criteria assessment. As a result of calculations, the best options for the sets of systems that most widely cover the road situation have been identified.


Author(s):  
Lars Petersson ◽  
Luke Fletcher ◽  
Nick Barnes ◽  
Alexander Zelinsky

This chapter gives an overview of driver assistance systems (DAS) in general and the Smart Cars project in particular. In the Driver Assistance Systems Section, a set of key competencies for an effective DAS are identified by comparing with a human co-pilot, namely, traffic situation monitoring, driver’s state monitoring, vehicle state monitoring, communication with the driver, vehicle control, and a reasoning system. It is also recognised that such a system must be intuitive, non-intrusive and override-able. A few of the currently available commercial systems are mentioned in the following section. The Smart Cars project, which is a joint project between the Australian National University and National ICT Australia, is then introduced. A number of different research directions within the project are then presented in detail: obstacle detection and tracking, speed sign detection and recognition, pedestrian detection, and blind spot monitoring.


2021 ◽  
Vol 13 (8) ◽  
pp. 4264
Author(s):  
Matúš Šucha ◽  
Ralf Risser ◽  
Kristýna Honzíčková

Globally, pedestrians represent 23% of all road deaths. Many solutions to protect pedestrians are proposed; in this paper, we focus on technical solutions of the ADAS–Advanced Driver Assistance Systems–type. Concerning the interaction between drivers and pedestrians, we want to have a closer look at two aspects: how to protect pedestrians with the help of vehicle technology, and how pedestrians–but also car drivers–perceive and accept such technology. The aim of the present study was to analyze and describe the experiences, needs, and preferences of pedestrians–and drivers–in connection with ADAS, or in other words, how ADAS should work in such a way that it would protect pedestrians and make walking more relaxed. Moreover, we interviewed experts in the field in order to check if, in the near future, the needs and preferences of pedestrians and drivers can be met by new generations of ADAS. A combination of different methods, specifically, an original questionnaire, on-the-spot interviewing, and expert interviews, was used to collect data. The qualitative data was analyzed using qualitative text analysis (clustering and categorization). The questionnaire for drivers was answered by a total of 70 respondents, while a total of 60 pedestrians agreed to complete questionnaires concerning pedestrian safety. Expert interviews (five interviews) were conducted by means of personal interviews, approximately one hour in duration. We conclude that systems to protect pedestrians–to avoid collisions of cars with pedestrians–are considered useful by all groups, though with somewhat different implications. With respect to the features of such systems, the considerations are very heterogeneous, and experimentation is needed in order to develop optimal systems, but a decisive argument put forward by some of the experts is that autonomous vehicles will have to be programmed extremely defensively. Given this argument, we conclude that we will need more discussion concerning typical interaction situations in order to find solutions that allow traffic to work both smoothly and safely.


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