Automated Driving Systems Design for the Improvement of Safety and Comfort in Automotive Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors Development".
Deadline for manuscript submissions: 12 August 2024 | Viewed by 1070
Special Issue Editors
Interests: advanced driver assistance systems; mechanical stability; road vehicles; uncertain systems; vehicle dynamics
Interests: vehicle control; vehicle safety; Internet of things; sensor fusion; intelligent vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: vehicle control; vehicle safety; internet of things; sensor fusion; intelligent vehicles; neural networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Automated driving systems (ADS) have emerged as a transformative technology with the potential to revolutionize transportation. These systems, often referred to as self-driving cars or autonomous vehicles, rely on advanced sensors, artificial intelligence, and connectivity to navigate and operate vehicles without human intervention. The importance of ADS lies in the numerous benefits these offer, including enhanced safety, increased efficiency, and improved accessibility. One of the primary advantages of ADS is their potential to significantly reduce traffic accidents. Human error is responsible for the majority of road accidents, and automated systems have the potential to eliminate or greatly minimize these errors. With their ability to sense the environment and react faster than humans, ADS can detect and respond to potential hazards more effectively, thus reducing the risk of collisions. Additionally, ADS can optimize traffic flow and reduce congestion by efficiently coordinating vehicle movements. Through real-time data analysis and communication between vehicles, autonomous systems can adjust speed, route, and spacing to ensure smoother traffic flow. This improved efficiency not only saves time for individuals but also reduces fuel consumption and lowers carbon emissions, contributing to a greener and more sustainable future. However, despite the significant potential benefits, the widespread adoption of ADS also presents several challenges. One of the major hurdles is ensuring the safety and reliability of these systems. Autonomous vehicles must be capable of navigating complex and unpredictable scenarios, including adverse weather conditions, construction zones, and interactions with pedestrians and human-driven vehicles. Developing robust algorithms and conducting extensive testing are crucial to ensure the safe operation of ADS.
Dr. Fernando Viadero-Monasterio
Prof. Dr. Beatriz L. Boada
Prof. Dr. Maria Jesús López Boada
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- automated vehicles
- artificial intelligence
- path tracking
- human–machine shared control
- platoon control
- V2V and V2I communication
- safety
- comfort
- robust control
- vehicle dynamics
