Retraction Notice: A Secured Vehicle Brain: DAO-Based Collaborative Perception and Decision-Making Systems for Intelligent Vehicles in CPSS
This letter discusses the security considerations of cross-space collaborative perception based on Decentralized Autonomous Organizations (DAOs). It explores the inter-space collaborative perception in three spaces, namely the vehicles' configuration space, social society space, and cyberspace. A DAO-based cross-space collaborative perception system also enables data generation and interaction among these spaces. The letter addresses the security and privacy protection of the interaction data and the challenges of cross-regional cooperation caused by the privatization and centralization of data interaction protocols in the collaborative perception process. The letter analyzes the causes of these issues and explores a DAO-based cross-space collaborative perception system. By combining DAOs with the collaborative perception system, the safety, efficiency, and sustainability of intelligent vehicles can be improved, which is of significant importance for the autonomous management capability of intelligent transportation systems.
Authors
- Zonglin Meng (ORCID: https://orcid.org/0000-0002-0592-0135)
- Changxian Zeng (ORCID: https://orcid.org/0000-0002-1844-4465)
- Jiaqi Ma (ORCID: https://orcid.org/0000-0002-8184-5157)
- Yuhang Liu (ORCID: https://orcid.org/0000-0003-0299-6887)
- Lili Fan (ORCID: https://orcid.org/0000-0002-8767-7123)
- Xin Xia (ORCID: https://orcid.org/0000-0002-5108-7578)
- Fei‐Yue Wang (ORCID: https://orcid.org/0000-0001-9185-3989)
Institutions
- Beijing Institute of Technology (CN)
- University of California, Los Angeles (US)
- Chinese Academy of Sciences (CN)
- Shandong Institute of Automation (CN)
- Institute of Automation (CN)
- Dalian Minzu University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Vehicles
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/tiv.2024.3502530
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00