[CfP] ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision)

The 2nd 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 seven keynote talks and regular paper presentations (oral and poster) to discuss the state of the art as well as existing challenges in autonomous driving. The workshop webpage is at https://avvision.xyz/iccv21/.

Keynote Speakers:

• Cordelia Schmid, INRIA
• Raquel Urtasun, University of Toronto
• Andreas Geiger, University of Tübingen
• Fisher Yu, ETH Zürich
• Laura Leal-Taixé, Technical University of Munich
• Matthew Johnson-Roberson, University of Michigan
• Carl Wellington, Aurora

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.

Important Dates:

• Paper submission deadline: Jul. 23, 2021
• Review feedback release date: Aug. 09, 2021
• Camera-ready Submission: Aug. 16, 2021
• Workshop date: Oct. 10-17, 2021 (TBD)

Submission Guidelines:

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 main conference. 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.

Organizers:

• Rui Ranger Fan, UC San Diego
• Nemanja Djuric, Aurora
• Rowan McAllister, Toyota Research Institute
• Ioannis Pitas, Aristotle University of Thessaloniki