Enabling computer vision applications on low-power embedded systems gives rise to new
challenges for embedded SW developers. Such applications implement different …

This paper describes a method for automatically transforming the structure and
characteristics of an image processing dataflow graph for the purpose of improving …

The use of autonomous surface vehicles (ASVs) is an efficient alternative to the traditional
manual or static sensor network sampling for large-scale monitoring of marine and aquatic …

Developing computer vision applications for low-power heterogeneous systems is
increasingly gaining interest in the embedded systems community. Even more interesting is …

Computer vision applications have stringent performance constraints that must be satisfied
when they are run at the edge on programmable low-power embedded devices. OpenVX …

Customizing computer vision applications for embedded systems is a common and
widespread problem in the cyber-physical systems community. Such a customization means …

In this study, we investigate how to use a Domain-Specific Language—Halide to accelerate
and optimize OpenVX graphs. Halide is a new high-level image processing pipeline …

Embedded vision is a disruptive new technology in the vision industry. It is a revolutionary
concept with far reaching implications, and it is opening up new applications and shaping …

In the context of the Edge-Cloud computing continuum, containerization and orchestration
have become two key requirements in software development best practices …

OpenVX is a standardized, cross-platform software framework to aid in development of
accelerated computer vision, machine learning, and other signal processing applications …