Deep Perception in Autonomous Driving, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 332
Special Issue Editors
Interests: autonomousdriving; computer vision; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous driving; deep learning; imagevideo segmentation
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous driving; deep learning; embodied AI; human-centric visual understanding; vision-language reasoning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The perception of the physical environment plays an essential role in the field of autonomous driving. Starting with the technical equipment within vehicles, autonomous driving is ushering in fundamental changes. For instance, cameras and various sensors are equipped to enable autonomous driving systems to better recognize the environment. This enables the development of innovative autonomous driving functions, but also poses challenges for the perception system and associated multimodal data processing/understanding modules. With this Special Issue, we attempt to showcase the latest advances and trends in deep learning-based techniques to build ‘autonomous-driving-friendly’ perception models.
This Special Issue will feature original research papers related to the models and algorithms employed in perception tasks for autonomous driving. The scope of this Special Issue includes, but is not limited to, the following topics:
- Visual, LiDAR and radar perception
- 2D/3D object detection, 2D/3D object tracking
- Domain adaption for classification/detection/segmentation
- Scene parsing, semantic segmentation, instance segmentation and panoptic segmentation.
- Human-centric visual understanding, human–human/object interaction understanding
- Human activity understanding, human intention modeling
- Person re-identification, pose estimation and part parsing
- Vehicle detection, pedestrian detection and road detection
- New benchmark datasets and survey papers related to the topics
We look forward to receiving your contributions.
Prof. Dr. Xiankai Lu
Dr. Tianfei Zhou
Dr. Wenguan Wang
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous vehicles
- artificial intelligence
- visual perception
- deep learning
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