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 2nd 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.
- Submission deadline: Jul. 25, 2021
- Review feedback release date: Aug. 09, 2021
- Camera-ready Submission: Aug. 16, 2021
: Authors are encouraged to submit high-quality, original
(i.e., not been 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 ICCV 2021
Papers are limited to eight pages, including figures and tables,
in the ICCV style. Additional pages containing only cited
references are allowed. Please refer to the following files for
detailed formatting instructions:
- Example submission paper with detailed instructions Download;
- LaTeX Templates (zip): iccv2021AuthorKit.zip Download
Papers that are not properly anonymized, or do not use the template, or have more than eight pages (excluding references) will be rejected without review.
The submission site
is now open.
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 four pages plus one additional page solely for references (using the template detailed above). The extended abstracts will NOT
be published in the workshop proceedings.