Deep Learning Based Object Recognition and Tracking
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 311
Special Issue Editor
Interests: perception; computer vision; object recognition; automatic driving; intention detection of pedestrians and cyclists; trajectory prediction
Special Issue Information
Dear Colleagues,
Assistance and autonomous systems, e.g., self-driving vehicles, heavily rely on the perception of their surroundings. Perception is based on sensors such as cameras, lidars, radars, etc. Their signals are interpreted to recognize objects and to track them. Deep learning is currently intensively used to solve these tasks.
This Special Issue adresses all applications of object recognition and tracking with special emphasis on deep-learning-based methods.
Prof. Dr. Konrad Doll
Guest Editor
Manuscript Submission Information
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Keywords
- Autonomous systems
- Assistance systems
- Perception
- Computer vision
- Convolutional neural networks
- Deep learning
- Object recognition
- Object tracking
- Object representation
