Sensors and Artificial Intelligence in Autonomous Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 1945
Special Issue Editor
Interests: computer vsion; machine learning; intelligent transportation systems; autonomous vehicles; vehicle automation; advanced driver assistance systems; sensor fusion; driver behaviour monitoring; object detection; semantic segmentation; traffic scene understanding and perception
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous vehicles (AVs), self-driving cars, and robotaxis have recently attracted a new level of attention from both academia and industry.
Different types of sensors (camera, laser scanner, radars, LiDAR, ultrasound, GPS, etc.) along with AI methodologies, machine learning, deep learning, and large datasets are playing major roles in further development of the AVs with a higher level of intelligence and mobility. Different types of sensors have led to increased safety, efficiency, capabilities, and more accuracies for object detection, 3D road modelling, traffic environment perception, and driver behaviour monitoring.
The Special Issue “Sensors and Artificial Intelligence in Autonomous Vehicles” welcomes open call submissions in the state-of-the-art current and emerging technologies and methodologies in utilisation of single or multi-sensors for vehicle automation and AVs.
Prospective authors are welcome to submit original research (not published or currently under consideration by any other publication or conference) and technical papers in the field. Using sensor(s) technologies, the expected topics include but are not limited to the following:
- Vision, Radar, and LiDAR based perception
- Night vision in challenging lighting conditions
- Multi-modal and multi-sensor data fusion
- Autonomous driving, driverless cars, and robotaxis
- Sensors in resuming the control between human driver and automated driving mode
- Scene understanding and object detection
- Driver behavior monitoring/modelling
- Pedestrian and road users monitoring/modelling
- Advanced driver assistance systems (ADAS)
- Sensor applications in connected and automated vehicles (CAVs)
- AI and machine learning in AVs
- Human factors and safety in self-driving cars
You may choose our Joint Special Issue in Remote Sensing.
Dr. Mahdi Rezaei
Guest Editor
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
- Autonomous vehicles
- Sensor technologies
- Sensor fusion
- Traffic, road, and environment perception
- Situation awareness
- Driver behavior
- Gesture recognition
- Human factors and safety
- Object detection
- Pedestrian detection
- Deep learning and big data
- Autonomous navigation
