The 3rd Autonomous Vehicle Vision (AVVision) Workshop is part of the Advanced Autonomous Driving Workshop (AADW), organized in conjunction with ECCV 2022. The other jointly organized workshop is the 2nd workshop on Self-supervised Learning for Next-Generation Industry-level Autonomous Driving (SSLAD).

The 3rd 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 half-day workshop, we will have four keynote talks and regular paper presentations (oral and poster) to discuss the state-of-the-art and existing challenges in autonomous driving.


Raquel Urtasun

University of Toronto

Andreas Geiger

University of Tübingen

Fisher Yu

ETH Zürich

Wei Liu




General Chairs

Rui Ranger Fan

Tongji University

Nemanja Djuric


Wenshuo Wang

McGill University

Peter Ondruska

Toyota WP

Jie Li

Toyota Research Institute

Program Committee

Qijun Chen Tongji University Ming Liu HKUST Jianping He SJTU Junhao Xiao NUDT Yanjun Huang Tongji University Fei Gao Zhejiang University Shuai Su Tongji University Hengli Wang HKUST Jiayuan Du Tongji University Jianhao Jiao HKUST Peng Yun HKUST Hesham Eraqi AUC Xinshuo Weng CMU Joshua Manela Waymo Meet Shah Waymo Vladan Radosavljevic Spotify Abhishek Mohta Aurora Innovation

Ming Yang SJTU Xiang Gao Idriverplus Chengju Liu Tongji University M. Junaid Bocus University of Bristol Yi Zhou Hunan University Hong Wei Reading University Chaoqun Wang Shandong University Yi Feng Tongji University Deming Wang Tongji University Mengjiao Shen Tongji University Bohuan Xue HKUST Dequan Wang University of California, Berkeley Peide Cai HKUST Nachuan Ma Tongji University Huaiyang Huang HKUST Meng Fan Aurora Innovation Shreyash Pandey Aurora Innovation

Yong Liu Zhejiang University Xiaolin Huang SJTU Lei Qiao SJTU Wei Ye Tongji University Sen Jia Toronto AI Lab, LG Electronics Sicen Guo Tongji University Jingwei Yang Tongji University Jiahe Fan Tongji University Jin Wu HKUST Zhuwen Li Nuro, Inc. Zhaoen Su Aurora Inovation Yixin Fei Tongji University Zhongkai Zhao Tongji University Shivam Gautam Aurora Inovation Henggang Cui Motional Fang-Chieh Chou Aurora Inovation Tanmay Agarwal Argo AI


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:

Important Dates

Submission Guidelines
Regular papers: 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 ECCV 2022 main conference. Papers are limited to 14 pages, including figures and tables, in the ECCV style. Additional pages containing only cited references are allowed. Please refer to the following files for detailed formatting instructions:

Papers that are not properly anonymized, or do not use the template, or have more than fourteen pages (not excluding references) will be rejected without review. The submission site is now open.

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 will NOT be published in the workshop proceedings.


Phone: +1 (412) 710-6868

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