Computer Vision of Edge AI on Automobile
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 36
Special Issue Editor
Interests: computer vision; machine learning; deep learning; human–computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the current wave of technological advancements, Edge Artificial Intelligence (Edge AI) is emerging as a critical technology in the automotive sector. By performing data processing and analysis locally within the vehicle, Edge AI can significantly enhance the real-time responsiveness and reliability of intelligent vehicles, thereby providing a more intelligent, safe, and efficient driving experience. This Special Issue, entitled "Computer Vision of Edge AI on Automobile", aims to gather recent research findings and real-world applications in order to explore innovations and technological breakthroughs regarding the utilization of Edge AI in automotive computer vision.
The scope of this Special Issue includes, but is not limited to, the following research areas:
- Application of Edge AI in automotive vision perception, including object detection, recognition and tracking, and scene understanding.
- Edge computing platforms and their deployment in automobiles, encompassing hardware architecture and software optimization.
- Real-time data processing and decision-making algorithms in intelligent driving systems.
- Integration and collaboration between Edge AI and Vehicle-to-Everything (V2X) technologies.
- Enhancing the safety of autonomous driving through Edge AI and its validation in real-world scenarios.
- Driver behavior monitoring and fatigue detection systems based on Edge AI.
- Implementation and optimization of multi-sensor fusion technology in automotive Edge AI systems.
- Applications and challenges of deep learning and machine learning algorithms in automotive Edge AI.
Dr. Yi-Zeng Hsieh
Guest Editor
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Keywords
- edge artificial intelligence (Edge AI)
- computer vision
- intelligent vehicles
- autonomous driving
- real-time data processing
- multi-sensor fusion
- object detection
- scene understanding
- driver monitoring
- vehicle-to-everything (V2X)
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