Call for Papers
Special Section on Robust and Certifiable Perception System for Intelligent Vehicles

The perception system is one of the most important parts of intelligent vehicles and has developed rapidly in recent years. Accuracy, efficiency, and robustness of perception algorithms like object detection and scene parsing have been greatly improved.

However, developing a robust and certifiable perception system is still challenging. Most perception systems can only work in relatively simple traffic scenarios, such as highways or closed environments, and would possibly fail in extreme conditions with the presence of extreme amounts of outliers due to false detection or sensor malfunction. Hence, the correctness and stability of the perception system in changeable and unseen environment is still not well-solved.  Besides, most of the perception systems are evaluated offline on the given dataset; however, they lack verification in actual scenarios in real time, which significantly limits the reliability of the perception system. The certifiable perception system is emerging, which can provide formal performance guarantees and real-time assessment of the correctness.

In this Special Section, we hope to bring together experts from the intelligent vehicle community to discuss the progress of the latest works in this feature topic on Robust and Certifiable Perception System for Intelligent Vehicle and to give readers a clear picture of the advances that are to come. Welcome topics include, but are not strictly limited to, the following:

Topics

l  Probabilistic Object Detection in Autonomous Driving

l  Deep Multi-modal Object Detection for Autonomous Driving

l  Robust Real-Time 3D Object Detection

l  Trustworthy Autonomous Driving

l  Unconventional Sensing for Autonomous Driving

l  Interactive Driving Perception

l  Validation and Testing of Perception System for Autonomous Driving

l  Situation Assessment for Autonomous Driving

l  Provably Safe Perception System for Automated Vehicle

Submission Guidelines

1.      Please submit online via www.springer.com/42154, be sure to select Topical Collection: Robust and Certifiable Perception System for Intelligent Vehicles.

2.      Papers should be submitted in two separate .doc files: 1) Blinded Manuscript (paper title, abstract, keywords, and full text); 2) Title Page (paper title, author affiliation, acknowledgment, and any other information related to the authors’ identification).

3.      If any problems, please feel free to contact the journal editorial office via email: jai-editor@sae-china.org .

Important Dates

2021.06.01: Deadline for Initial Paper Submission
2021.08.01: Notification of First Round Decision
2021.09.01: Deadline for Revised Paper Submission
2021.10.15: Final Decision Due
2021.11.15: Final Manuscript Due

Guest Editors

• Prof. Guang Chen, 1Tongji University, China; 2Technische Universit?t München, Germany
• Prof. Alois Knoll, Technische Universit?t München, Germany
• Prof. Zhihua Zhong, 1Tongji University, China; 2Chinese Academy of Engineering, China

About Automotive Innovation

Sponsored by China SAE and published globally via Springer Nature, Automotive Innovation aims to be a world-class journal that provides abundant sources of innovative findings for automotive engineers and scientists. The journal is published quarterly, ensuring high-quality papers satisfying international standards. With the editorial board consisting of world-renowned experts, it has attracted readers from 72 countries and regions. The highest download of a single article wins more than 15,000.

The journal is dedicated to the publication of peer-reviewed original papers and covers the principles, methodologies, designs, theoretical background and cutting-edge technologies in connection with the development of vehicle and mobility. The main topics include but are not limited to: energy-saving, electrification, intelligent and connected, safety and lightweight technologies.

Advantages of Submission

l  An international journal distributed worldwide

l  Opportunity to demonstrate and exchange innovative technologies

l  Publishing articles free of charge

Download Call for Paper and Paper Template

Welcome your submissions！
www.chinasaejournal.com.cn
www.springer.com/42154

ISSN (Print Version): 2096-4250

ISSN (Electronic Version): 2522-8765
Sponsored by
China Society of Automotive Engineers
Published by
Springer Nature
Contact
Ms. Lili Lu
Tel:+86-10-50950036
E-mail: jai-editor@sae-china.org