Classification of driver-assistance systems according to their impact on road safety and traffic efficiency

In this article has been presented issues of autonomization of public transport vehicles. In the first part is included classification of autonomization levels. On basics of this has been presented manufactor's strategy of facility development and softweare update, in order to take full advantage of the available opportunities, and increase the autonomization level. In the second part has been discussed driver assistance systems installed in modern vehicles. The final part contains characterization of V2X technology (Vehicle to everything), with vehicles without a driver as the target.

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The choice of rational complex of active safety systems for smart cars

Journal of Physics Conference Series ◽

10.1088/1742-6596/2061/1/012128 ◽

2021 ◽

Vol 2061 (1) ◽

pp. 012128

Author(s):

A I Markovnina ◽

N D Tsyganov ◽

A V Papunin ◽

V S Makarov ◽

V V Belyakov

Keyword(s):

Road Safety ◽

Vehicle Safety ◽

Active Safety ◽

Driver Assistance ◽

Driver Assistance Systems ◽

The Road ◽

Active Safety Systems ◽

Assistance Systems ◽

Smart Cars ◽

Safety Systems

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.

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Fusión, clasificación y tracción simultáneas de obstáculos en movimiento mediante LIDAR y cámara usando algoritmo bayesiano

Innovaciencia Facultad de Ciencias Exactas Físicas y Naturales ◽

10.15649/2346075x.997 ◽

2020 ◽

Vol 8 (1) ◽

pp. 1-10

Author(s):

Masrour Dowlatabadi ◽

Ahmad Afshar ◽

Ali Moarefianpour

Keyword(s):

Real Data ◽

Light Detection And Ranging ◽

Unmanned Ground Vehicles ◽

Ground Vehicles ◽

Driver Assistance ◽

Driver Assistance Systems ◽

Moving Obstacles ◽

Assistance Systems ◽

Near Future

In the near future, preventing collisions with fixed or moving, alive, and inanimate obstacles will appear to be a severe challenge due to the increased use of Unmanned Ground Vehicles (UGVs). Light Detection and Ranging (LIDAR) sensors and cameras are usually used in UGV to detect obstacles. The definite tracing and classification of moving obstacles is a significant dimension in developed driver assistance systems. It is believed that the perceived model of the situation can be improved by incorporating the obstacle classification. The present study indicated a multi-hypotheses monitoring and classifying approach, which allows solving ambiguities rising with the last methods of associating and classifying targets and tracks in a highly volatile vehicular situation. This method was tested through real data from various driving scenarios and focusing on two obstacles of interest vehicle, pedestrian.

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Survey and Classification of Cooperative Automated Driver Assistance Systems

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) ◽

10.1109/vtcfall.2015.7391161 ◽

2015 ◽

Cited By ~ 12

Author(s):

Oliver Sawade ◽

Ilja Radusch

Keyword(s):

Driver Assistance ◽

Driver Assistance Systems ◽

Assistance Systems

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The effectiveness of the AEB system in the context of the safety of vulnerable road users

Open Engineering ◽

10.1515/eng-2021-0097 ◽

2021 ◽

Vol 11 (1) ◽

pp. 977-993

Author(s):

Monika Ucińska ◽

Małgorzata Pełka

Keyword(s):

Road Safety ◽

Road Accident ◽

Driver Assistance ◽

Driver Assistance Systems ◽

Emergency Braking ◽

Road Users ◽

Vulnerable Road Users ◽

Assistance Systems ◽

Potential Impact ◽

National Police

Abstract According to the analysis by the National Police Headquarters, roughly 40% of all road accident victims in Poland are vulnerable road users (VRU), i.e. pedestrians and cyclists. Their protection has become one of the priorities for action regarding road safety. For this purpose, various activities are carried out aimed not only at human behaviour or the development of modern and safe road infrastructures but also at the development of modern vehicles, including advanced driver assistance systems (ADAS). In order to identify the limitations of the currently available driver assistance systems, designed to respond to VRU, research was carried out under the project name, “PEDICRASH: Safety aspects of VRU in CAD automated vehicles.” The project was aimed at increasing users’ awareness (both pedestrians and drivers) of the limitations of ADAS by analysing barriers and indicating recommendations allowing for more effective protection of pedestrians and cyclists due to the identified operating limitations of these systems. The research focused on the autonomous emergency braking (AEB) system and its potential impact on the level of road safety, with particular emphasis on VRU.

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