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Special Issue: Technologies for Automated Vehicles

Volume 114, Issue 4

April 2026

Guest Editors

Special Issue Papers

By C. Stiller, L. Vlacic, and M. Barth

By C. Wei, G. Wu, and M. J. Barth

This article provides a systematic overview of collaborative perception concepts that extend vehicle-centric sensing through vehicle-to-vehicle and vehicle-to-infrastructure information sharing.

By R. Bhattacharyya, K. J. Brown, J. Wang, K. Driggs-Campbell, and M. J. Kochenderfer

This article provides a systematic overview of collaborative perception concepts that extend vehicle-centric sensing through vehicle-to-vehicle and vehicle-to-infrastructure information sharing.

By C. Cui, Y. Ma, S.-Y. Park, Z. Yang, Y. Zhou, P. Liu, J. Lu, J. Peng, J. Zhang,
R. Zhang, L. Li, Y. Chen, J. H. Panchal, A. Abdelraouf, R. Gupta, K. Han,
and Z. Wang

This article develops a comprehensive framework for Large Language Models for Autonomous Driving (LLM4AD) that positions language and vision–language models as a high level cognitive interface between human intent, multimodal scene understanding, and vehicle control.

By X. Wang, J. Yu, J. Huang, Q. Wu, L. Vlacic, and C. Sun

This article addresses a safety-first, human-like decisionmaking framework tailored to dense and time-varying traffic flow.

By M. Althoff, S. Maierhofer, G. Würsching, Y. Lin, F. Lercher, and R. Stolz

This article provides a comprehensive tutorial on traffic-rule compliance as a first class specification for automated vehicles.

By Z. Wang, Z. Liu, Y. Lin, Y. Zhang, and Q. Cheng

This article advances the state of mixed autonomy traffic modeling by introducing a day-to-day network framework that explicitly captures link-level evolution of autonomous vehicle penetration.

By T. Woopen, M. Buchholz, M. Henning, C. Hermann, A. Kampmann, C. Kinzig, B. Lampe, M. Lauer, M. Schön, R. van Kempen, L. Wang, K. Dietmayer, L. Eckstein, S. Kowalewski, and C. Stiller

This article presents a safety architecture for AVs, illustrating how redundancy, fail-safe design, and software modularity can be cohesively realized in next-generation vehicles.

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