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Special Issue "Sensor Data Fusion for Autonomous and Connected Driving"
Deadline for manuscript submissions: 15 November 2019.
Head of LIVIC lab, Cosys department, IFSTTAR, 25 allée des Marronnier 78000 Versailles, France
Interests: autonomous driving; multi-sensor data fusion; cooperative systems; environment perception; extended perception; sensors simulation for ADAS prototyping
College of transportation engineering, Tongji University, (Jiading campus), Shanghai 201804, China
Interests: Methods and Means for Traffic Data Collection and Analysis; Mobility Simulation; Transportation Environment for Connected Autonomous Vehicles
Over the last decades, the development of advanced driver assistance systems (ADAS) has become a critical endeavor to reach different objectives: safety enhancement, mobility improvement, energy optimization and driver comfort. In order to tackle the first three objectives, considerable research focusing on autonomous driving has been carried out. Recent research and the development of highly automated driving aim to ultimately replace the driver’s actions with robotic functions. Partially automated driving will require co-pilot applications involving a combination of the above methods, algorithms and architectures. Such a system is built from complex, distributed and cooperative architectures with strong properties such as reliability and robustness. These properties must be maintained despite complex and degraded working conditions, including adverse weather conditions, fog or dust as perceived by sensors. This Special Issue will provide an overview of the recent research related to sensor and data fusion, information processing and merging, and fusion architecture for the cooperative perception and risk assessment needed for autonomous mobility means. Indeed, prior to ensuring a high level of safety in the deployment of autonomous driving applications, it is necessary to guarantee high-quality and real-time perception mechanisms. Therefore, research contributions concerning new automotive sensors, AI for semantic information generation and safe operation are welcome.
Dr. Dominique Gruyer
Dr. Olivier Orfila
Prof. Dr. Haihao Sun
Prof. Dr. Homayoun Najjaran
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 papers will be 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 1800 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.
- sensor data fusion
- information processing
- cooperative perception
- fusion for connected vehicles
- autonomous driving
- fusion architecture
- smart sensors
- AI for semantic information