Future Trends in Applications of Neural Networks for Vision-Based Autonomous Tasks
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 May 2024 | Viewed by 141
Special Issue Editors
Interests: computer vision in autonomous vehicles; applied artificial intelligence; neural networks; digital image processing; applied integrated systems
Special Issue Information
Dear Colleagues,
The field of computer vision has experienced remarkable growth in recent years, mainly due to the use of neural networks. Autonomous vision-based applications have become essential in a variety of industries from autonomous driving robotics to surveillance and augmented reality. These neural-network-powered systems have changed the landscape of visual awareness, enabling machines to understand, meet and interact with the world around them. This Special Issue provides a platform to explore and discuss the latest applications, developments and future directions in the use of neural networks for autonomous vision-based tasks.
We invite contributions demonstrating new applications or improvements in neural networks applied in areas including, but not limited to, the following:
- Autonomous Navigation and Robot Control:
- Real-time object detection, segmentation and tracking;
- Simultaneous localization and mapping (SLAM);
- Route planning and obstacle avoidance;
- Recognition of gestures and human–robot interaction.
- Computer vision for autonomous vehicles:
- Advanced driver assistance systems (ADASs);
- Traffic signs and directions;
- Autonomous driving: thinking and decision making.
- Inspection and Security:
- Intrusion detection and anomaly detection;
- Facial recognition and biometric authentication;
- Accident analysis and incident detection.
- Augmented and virtual reality:
- Augmented reality object recognition and interaction;
- Virtual object management and integration;
- Immersive virtual reality experience.
- Environmental Research and Agriculture:
- Identification and control of crop diseases;
- Wildlife management and conservation efforts;
- Remote control of autonomous machinery.
Dr. Vijay Kakani
Dr. Ákos Odry
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision processing algorithms
- neural networks
- vision-based autonomous tasks
