Special Issue "Advanced Computer Vision Techniques for Autonomous Driving"
Deadline for manuscript submissions: 31 August 2021.
Interests: Computer vision; Image processing; Object detection and tracking; Scenes understanding; deep Learning; Biometrics, Security
Interests: Transfer learning; Domain adaptation; Deep learning and Multi-view learning; Vehicle and Person Re-Identification
Autonomous driving (AD) refers to self-driving vehicles or any transport system moves without humans. Automotive systems are equipped with cameras and sensors to cover all the fields of view and range. Further, sensor architecture in AD includes multiple sets of cameras, radars, and LIDARs, as well as GPS-GNSS for absolute localization and inertial measurement units that provide a 3D pose of the vehicle in space. Representation of the environment state or scene understanding is utilized by a decision-making system to produce the final driving policy, which can be achieved by a combination of several perception or computer vision tasks such as semantic segmentation, motion estimation, depth estimation, and soiling detection. Computer vision is as a key technique in AD technologies. Thus, there is a need to explore new and emerging trends in computer vision for autonomous driving. This Special Issue aims to address the most up-to-date impacts of computer vision on progress autonomous driving research. Topics of interest include but are not limited to:
- New trends on vision and sensors for autonomous driving;
- Vision‐based traffic flow analysis and smart vehicle technologies;
- Vehicle trajectory prediction in autonomous driving;
- Vehicle classification and semantic segmentation;
- Traffic sign detection, recognition, and scene understanding;
- Detection, tracking, learning, and predicting on-road pedestrian behavior;
- Object detection and tracking on Fisheye cameras for autonomous driving;
- Unsupervised, weakly-supervised, and reinforcement deep.
Prof. Dr. M. Hassaballah
Prof. Dr. Zhengming Ding
Dr. Senthil Yogamani
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 2200 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.
- Autonomous driving
- Computer vision
- Automated parking
- Scene understanding
- Vehicle trajectory prediction
- Object detection and tracking
- Semantic segmentation
- Tracking using a Lidar sensor
- Deep neural network models
- Smart sensors
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.