We are proud to present the 3rd International Workshop on Computer Vision for UAVs (UAVision 2019). This workshop is in conjunction with CVPR2019, Long Beach, California and is scheduled on either June 16th or 17th (TBD). Previous editions were held at ICCV2017 and ECCV2018.

This workshop focuses on state-of-the-art real-time image processing on-board of Unmanned Aerial
Vehicles. Indeed, cameras make ideal sensors for drones as they are lightweight, power-efficient and an
enormously rich source of information about the environment in numerous applications. Although lots of
information can be derived from camera images using the newest computer vision algorithms, the use of
them on-board of UAVs poses unique challenges. Their computational complexity often conflicts with the
need for real-time operation and the extreme resource limitations of the platform. Of course, developers
have the choice to run their image processing on-board or on a remote processing device, although the
latter requires a wireless link with high bandwidth, minimal latency and ultra-reliable connection. Indeed,
truly autonomous drones should not have to rely on a wireless datalink, thus on-board real-time processing
is a necessity. However, because of the limitations of UAVs (lightweight processing devices, limited on-
board computational power, limited electrical power on-board), extreme algorithmic optimization and
deployment on state-of-the-art embedded hardware (such as embedded GPUs) is the only solution. In this
workshop we focus on enabling embedded processing in drones, making efficient use of specific embedded
hardware and highly optimizing computer vision algorithms towards real-time applications.

Apart from the regular paper submissions track we also organize an ERTI (Embedded Real-Time Inference) challenge. In this challenge competitors need to develop a pedestrian detection framework which runs on an NVIDIA Jetson TX2 with a minimum processing speed of 5 FPS.