Special Section on Safe Motion Planning and Control for Autonomous Driving Under Multi-Source Uncertainty

Editor:
Peter Seiler
University of Michigan
United States
pseiler@umich.edu
https://seiler.engin.umich.edu

Organizers:
Zejiang Wang
University of Texas at Dallas, United States
zejiang.wang@utdallas.edu

Yuanqiu Mo
Southeast University, China
yuanqiumo@seu.edu.cn

Mingyu Cai
University of California, Riverside, United States
mingyu.cai@ucr.edu

Jinhao Liang
National University of Singapore, Singapore
jh.liang@nus.edu.sg

Guodong Yin
Southeast University, China
ygd@seu.edu.cn

Submission Window: 28 Feb 2025 – 31 August 2025

With the widespread attention in both academia and industry regarding autonomous driving, ensuring safety in its autonomous planning and control has become an urgent task. Currently, the implementation framework of autonomous driving primarily involves the planner generating a “collision-free trajectory,” which is then handed over to the control layer for tracking. However, real-world predictions and vehicle dynamics are typically fraught with various uncertainties (i.e., the intentions and trajectories of other vehicles, vehicle steering system hysteresis, etc.), especially in scenarios involving high-speed vehicle maneuvering behavior. These uncertainties can undermine safety planning validated by nominal model verification, rendering the control trajectory no longer safe. While it seems that the vast majority of machine learning methods struggle to provide safety assurances for planning and control, some trustworthy ideas for machine learning-based safety planning and control have begun to emerge.

Authors are encouraged to focus on the uncertainties encountered in real-world scenarios, with a focus on developing algorithms capable of explicitly reasoning uncertainty propagation and achieving autonomous driving planning and control with strong robustness. This special section advocates for researchers to attentively address the multifaceted challenges inherent in the domain of autonomous driving planning and control in order to provide apt solutions.

Topics of interest for this special issue include but are not limited to:

  > Robust trajectory planning of autonomous driving
  > Robust trajectory tracking control of autonomous driving
  > Safety-critical critical decision-making and control of autonomous driving
  > Robust and resilient autonomous vehicle control subject to sensor failure or attack
  > Machine learning for trajectory prediction
  > Statistical methods for quantifying uncertain predictions
  > Human-centered AI technology for autonomous driving control
  > Platoon control subject to various heterogeneity
  > Application of game theory in the human-vehicle interaction system
  > Cooperative control between human-driven (or human-operated) vehicles and autonomous vehicles

Special Section Schedule:

  > Special Section Submission Window: 28 February 2025 – 31 August 2025
  > Notification of reviews and recommendations: 10 weeks after initial submission
  > Final notification of regular papers: 20 weeks after initial submission
  > Manuscript publication on IEEE Xplore: 24 weeks after initial submission

* Review process starts at time of manuscript submission

Submission Site: https://css.paperplaza.net/journals/ojcs/scripts/login.pl
Length: 10-15 pages, not including references. Justification of longer papers is required.
Discounts:Partial discounts may be available for special section papers published in Vol. 4. Contact the editorial assistant for more information.

> IEEE Members receive a 5% discount.
> IEEE Control Systems Society Members receive a 20% discount.

Discounts do not apply to undergraduate and graduate students. These discounts cannot be combined. Check with your affiliation library for more possible discounts.

Guest Senior Editor

Name: Peter Seiler
Affiliation: University of Michigan, United States

Guest Associate Editors

Name: Zejiang Wang
Affiliation: University of Texas at Dallas, United States

Name: Yuanqiu Mo
Affiliation: Southeast University, China

Name: Mingyu Cai
Affiliation: University of California, Riverside, United States

Name: Fei Miao
Affiliation: University of Connecticut, United States

Name: Vaibhav Srivastava
Affiliation: Michigan State University, United States

Name: Cameron Nowzari
Affiliation: George Mason University, United States

Name: Jinhao Liang
Affiliation: National University of Singapore, Singapore

Name: Guodong Yin
Affiliation: Southeast University, China

Name: Luigi Iannelli
Affiliation: University of Sannio, Italy