Advances in Autonomous Driving and Smart Transportation, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 121
Special Issue Editors
Interests: image segmentation; object detection and perception; autonomous driving technology
Special Issues, Collections and Topics in MDPI journals
Interests: physics-based LIDAR simulations/supercomputing; simulation of autonomous ground vehicles; ground vehicle mobility and vehicle dynamics simulation; tire–soil interaction simulations/terrain impacts on mobility; parallel rendering, graphics, and radiative transfer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Research efforts to achieve autonomous driving capabilities have increased significantly in the last decade. The technology to empower autonomous vehicles with different sensors, including LiDAR, RADAR, ultrasonic devices, and cameras, is developing at a rapid pace, and the data collected by these platforms are extremely useful for developing AI/ML models. One of the most significant advantages of autonomous cars is their potential to make roads safer by enabling the navigation of the environment safely and efficiently. This Special Issue invites contributions on the following topics:
- Perception and sensing in adverse weather conditions like fog, rain, and snow, which are important aspects to consider for safer navigation.
- Advances in sensor fusion, perception enhancement, classification, and localization techniques, which are important solutions to enhance the capabilities of autonomous vehicles.
- Deep learning models for object detection, which are extremely desirable in self-driving cars.
- All supervised deep learning models require labeled datasets to train the algorithms. As the labeling effort is very cumbersome and time-consuming, advancements in auto-labeling techniques are of significant importance to annotate large datasets.
- Advances in vehicle connectivity solutions that connect vehicles to other vehicles (V2V), infrastructure (V2I), the electric network (V2N), and even pedestrians (V2P), which are important for safer navigation.
Navigation of unmanned ground vehicles (UGVs) in off-road/unstructured environments, which is of prime concern in defense applications. Advances in obstacle detection and navigating safely in this complex terrain is a major challenge in off-road autonomous driving.
Dr. Lalitha Dabbiru
Dr. Christopher T. Goodin
Guest Editors
Manuscript Submission Information
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Keywords
- automated driving
- machine learning
- perception and sensing
- object detection
- adverse weather models
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Related Special Issue
- Advances in Autonomous Driving and Smart Transportation in Applied Sciences (13 articles)
