Efficiency of adaptive cruise control in commercial vehicles

Q3 Engineering Pollack Periodica Pub Date : 2024-05-03 DOI:10.1556/606.2024.00970
Dilshad Mohammed, Victor Nagy, Márton Jagicza, Dávid Józsa, Balázs Horváth
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Abstract

The evolution of autonomous vehicles hinges significantly upon the advancements in driving assistance systems. Adaptive cruise control, a pivotal component of these systems, warrants continuous real-world examination to assess its operational efficiency. The study investigates these systems integrated into diverse commercial vehicles with a specific focus on the following distances they provide. The findings reveal that camera-based systems offer shorter following distances relative to ISO standards, while radar-based and combined camera and radar-based systems provide larger following distances. The study contributes to understand adaptive cruise control technology and its alignment with safety standards, thereby aiding in the on-going development of self-driving vehicles.
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商用车辆自适应巡航控制系统的效率
自动驾驶汽车的发展在很大程度上取决于驾驶辅助系统的进步。自适应巡航控制系统是这些系统的重要组成部分,需要对其进行持续的实际检查,以评估其运行效率。本研究调查了集成在各种商用车辆中的这些系统,重点关注它们提供的跟车距离。研究结果表明,与 ISO 标准相比,基于摄像头的系统可提供更短的跟车距离,而基于雷达的系统以及摄像头和雷达相结合的系统可提供更大的跟车距离。这项研究有助于了解自适应巡航控制技术及其与安全标准的一致性,从而有助于自动驾驶汽车的持续发展。
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来源期刊
Pollack Periodica
Pollack Periodica Engineering-Civil and Structural Engineering
CiteScore
1.50
自引率
0.00%
发文量
82
期刊介绍: Pollack Periodica is an interdisciplinary, peer-reviewed journal that provides an international forum for the presentation, discussion and dissemination of the latest advances and developments in engineering and informatics. Pollack Periodica invites papers reporting new research and applications from a wide range of discipline, including civil, mechanical, electrical, environmental, earthquake, material and information engineering. The journal aims at reaching a wider audience, not only researchers, but also those likely to be most affected by research results, for example designers, fabricators, specialists, developers, computer scientists managers in academic, governmental and industrial communities.
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