We are currently witnessing a tremendous surge in the development of smart and autonomous systems. These include autonomous cars, autonomous robots, autonomous drones, and various smart systems in the context of industrial automation. A crucial component in all of these systems is computer vision, where inputs from various sensors such as cameras or lidars are processed and control commands for the desired functionality are generated. Computer vision is also being used for implementing various smart functionality, as well as security, e.g., using facial recognition. These emerging applications of computer vision pose several research challenges. These include the development of high-performance embedded architectures to support computer vision solutions, particularly those based on machine learning, the need for timing guarantees of computer vision algorithms when they are in critical control loops, low-power algorithms and architectures for computer vision, and privacy and security of vision-based applications and systems.

The deadline for submission to the special issue is December 15, 2020.

For more details, see Call for Papers.