[visionlist] CfP: 15th IEEE Embedded Vision Workshop (CVPR19)

Martin Humenberger humenbergerm at gmail.com
Fri Jan 25 03:48:06 -05 2019

The 15th IEEE Embedded Vision Workshop
June 16 or 17, 2019, Long Beach, CA
Held in conjunction with IEEE CVPR 2019.


Main theme: Embedded Vision for Unmanned Aerial Vehicles (UAVs)

Important Dates
Paper submission: March 11, 2019
Demo abstract submission: March 11, 2019
Notification to the authors: April 3, 2019
Camera-ready paper: April 10, 2019

Paper submission: https://cmt3.research.microsoft.com/EVW2019
Author guidelines:

For paper submission, please refer to CVPR guidelines.
For demo abstract submission, authors are encouraged to submit an abstract
of up to 4 pages.

UAVs with embedded and real-time vision processing capabilities have proven
to be highly versatile autonomous robotic platforms in a variety of
environments and for different tasks. The workshop aims at collecting and
discussing next-generation approaches for online and onboard visual systems
embedded on UAVs in order to elaborate a holistic picture of the state of
the art in this field, and also to reveal remaining challenges and issues.
The discussion of these topics will identify next steps in this research
area for both young researchers as well as senior scientists. The invited
speakers from academia will highlight past and current research and the
invited speakers from industry will help closing the loop how research
efforts are and will be perceived for industrial applications. Topics of
interest include vision-based navigation, vision-based
(multi-)sensor-fusion, online reconstruction, collaborative vision
algorithms for navigation and environment perception, and related topics.
This year, the Embedded Vision Workshop will host the Low-Power Image
Recognition Challenge (LPIRC 2019, https://rebootingcomputing.ieee.org/lpirc)
merging “new advances in efficient embedded computer vision algorithms for
UAV applications” with “low-power technologies for image recognition” —
both playing a major role for next-generation low-power, high efficiency aerial
autonomy concepts.

Research papers are solicited in, but not limited to, the following topics
and with relevance particularly to Unmanned Aerial Vehicles:

- New trends and challenges in embedded visual processing for UAV
applications, including localization, navigation, and image-based perception
- Analysis of vision problems specific to embedded systems
- Analysis of embedded systems issues specific to computer vision
- Artificial intelligence hardware and software architectures for visual
exploitation (for example deep learning, convolutional neural networks, and
lightweight convolutional networks)
- Embedded vision for UAVs (industrial, mobile and consumer)
- Advanced assistance systems and autonomous navigation frameworks
- Augmented and Virtual Reality
- Large-scale computer vision problems including object recognition, scene
analysis, industrial and medical applications
- New trends in programmable processors for vision and computational imaging
- Applications of and algorithms for embedded vision on:
- Massively parallel platforms such as GPUs (PC, embedded and mobile)
- Programmable platforms such as DSPs and multicore SoCs
- Reconfigurable platforms such as FPGAs and SoCs with reconfigurable logic
- Swarms of mobile aerial platforms
- Vision-based client devices for the Internet of Things (IoT)
- Mixed reality on mobile devices
- Embedded vision for 3D reconstruction and (live) data streams
- Biologically-inspired vision and embedded systems
- Computer vision applications distributed between embedded devices and
- Educational methods for embedded vision
- Hardware enhancements (lens, imager, processor) that impact vision
- Software enhancements (OS, middleware, vision libraries, development
tools) that impact embedded vision application
- Performance metrics for evaluating embedded systems
- Hybrid embedded systems combining vision and other sensor modalities
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