Human-Centered Design and Development of Advanced Driver Assistance Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 2036
Special Issue Editors
Interests: driver assistance systems; human system interaction; intelligent transport systems
Interests: driver assistance systems; human system interaction; intelligent transport systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Statistical data indicate that most road crashes occur due to human errors. Advanced driver assistance systems (ADASs) are therefore proposed and widely applied to assist drivers to prevent potential collisions and maintain driving safety. Through a safe and appropriate human–machine interface, ADASs can offer necessary information and assistances to drivers and can reduce road fatalities by minimizing human errors.
Normally, sensors and cameras are used in ADASs to detect obstacles or human errors. Recently, the development of emerging technologies (including vehicular communications) makes it easier for vehicles to collect surrounding traffic information, and can offer new possibilities to improve the performance of ADASs.
Therefore, it is essential to provide an insight into the trends and challenges of ADASs. This Special Issue aims to cover all the topics related to ADASs, and welcomes both research and review papers. This Special Issue will focus on (but is not be limited to) the following topics:
- The development and validation of ADASs
- Driver’s trust in ADASs
- Human–machine interfaces and interactions
- Driver monitoring systems
- Sensor and camera technologies
- Vehicular communications
- Emerging technologies that can be applied in ADASs
Dr. Bo Yang
Dr. Zheng Wang
Dr. Shuo Cheng
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- advanced driver assistance system
- driver behaviors
- intelligent transport systems
- human-machine interface
- sensing technology
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