Autonomous Vehicle Vision (AVVision) Workshop Call for Papers

Call for Workshop Papers
AVVision 2022

in conjunction with
17th European Conference on Computer Vision
(ECCV 2022)
Tel-Aviv, Israel, October 23rd-27th, 2022

The 3rd Autonomous Vehicle Vision (AVVision) Workshop aims to bring
together industry professionals and academics to brainstorm and
exchange ideas on the advancement of computer vision techniques for
autonomous driving. In this one-day workshop, we will have several
keynote talks and regular paper presentations (oral and poster) to
discuss the state-of-the-art as well as existing challenges in the
field of autonomous driving.

The workshop webpage is at

Call for papers:

With a number of breakthroughs in autonomous system technology over
the past decade, the race to commercialize self-driving cars has
become fiercer than ever. The integration of advanced sensing,
computer vision, signal/image processing, and machine/deep learning
into autonomous vehicles enables them to perceive the environment
intelligently and navigate safely. Autonomous driving is required to
ensure safe, reliable, and efficient automated mobility in complex
uncontrolled real-world environments. Various applications range from
automated transportation and farming to public safety and environment
exploration. Visual perception is a critical component of autonomous
driving. Enabling technologies include: a) affordable sensors that can
acquire useful data under varying environmental conditions, b)
reliable simultaneous localization and mapping, c) machine learning
that can effectively handle varying real-world conditions and
unforeseen events, as well as "machine-learning friendly" signal
processing to enable more effective classification and decision
making, d) hardware and software co-design for efficient real-time
performance, e) resilient and robust platforms that can withstand
adversarial attacks and failures, and f) end-to-end system integration
of sensing, computer vision, signal/image processing and machine/deep
learning. The 3rd AVVision workshop will cover all these
topics. Research papers are solicited in, but not limited to, the
following topics:

*       3D road/environment reconstruction and understanding;
*       Mapping and localization for autonomous cars;
*       Semantic/instance driving scene segmentation and semantic mapping;
*       Self-supervised/unsupervised visual environment perception;
*       Car/pedestrian/object/obstacle detection/tracking and 3D localization;
*       Car/license plate/road sign detection and recognition;
*       Driver status monitoring and human-car interfaces;
*       Deep/machine learning and image analysis for car perception;
*       Adversarial domain adaptation for autonomous driving;
*       On-board embedded visual perception systems;
*       Bio-inspired vision sensing for car perception;
*       Real-time deep learning inference.

Important Dates:
*       Paper submission deadline: July 31th, 2022
*       Review feedback release date: August 16th, 2022
*       Camera-ready submission: August 22nd, 2022
*       Workshop date: Oct. 23-24th, 2022 (exact date TBD)
Submission Guidelines:

Full papers: Authors are encouraged to submit high-quality, original
(i.e., not previously published or accepted for publication in
substantially similar form in any peer-reviewed venue including
journal, conference, or workshop) research. The paper template is
identical to the one used at ECCV 2022 main conference (see the
"Submission Guidelines" section). Papers are limited to 14
pages, including figures and tables, in the ECCV style. Additional
pages containing only cited references are allowed.

Extended abstracts: We encourage participants to submit preliminary
ideas that have not been published before as extended abstracts. These
submissions would benefit from additional exposure and discussion that
can shape a better future publication. We also invite papers that have
been published at other venues to spark discussions and foster new
collaborations. Submissions may consist of up to 7 pages plus one
additional page solely for references (using the template detailed
above). The extended abstracts do NOT need to be anonymized and will
NOT be published in the workshop proceedings.

Papers that are not properly anonymized, or do not use the template,
or have more than the allowed number of pages will be rejected without
review. The submission site is now open.


*       Rui Ranger Fan, Tongji University
*       Nemanja Djuric, Aurora Innovation
*       Wenshuo Wang, McGill University
*       Peter Ondruska, Lyft
*       Jie Li, Toyota Research Institute