The increasing interest in Autonomous Vehicles (AV) is notable due to business, safety, and performance reasons. While there is salient success in recent AV architectures, hinging on the advancements in AI models, there is a growing number of fatal incidents that impedes full AVs from going mainstream. This calls for the need to revisit the fundamentals of building safety-critical AV architectures. However, this direction should not deter leveraging the power of AI. To this end, we propose Savvy, a new trustworthy intelligent AV architecture that achieves the best of both worlds. Savvy makes a clear separation between the control plane and the data plane to guarantee the safety-first principles. The former assume control to ensure safety using design-time defined rules, while launching the latter for optimizing decisions as much as possible within safety time-bounds. This is achieved through guided Time-aware predictive quality degradation (TPQD): using dynamic ML models that can be tuned to provide either richer or faster outputs based on the available safety time bounds. For instance, Savvy allows to safely identify an elephant as an obstacle (a mere object) the earliest possible, rather than optimally recognizing it as an elephant when it is too late. This position paper presents the Savvy's motivations and concept, whereas empirical evaluation is a work in progress.
Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions
School of Cyber Science and Engineering, Xi’an Jiaotong University（网络安全与工程学院，西安交通大学）；College of Science and Engineering, Kanazawa University（科学与工程学院，金泽大学）；Faculty of Science and Technology, University of Macau（科学与技术学院，澳门大学）
What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning
Birla Institute of Technology and Science, Pilani（贝拉理工科学学院皮拉尼分校）；University of California, Merced（加州大学默塞德分校）
Engineering Trustworthy Agentic AI for Critical Systems
Texas A&M University（德克萨斯A&M大学）；Innovations in Systems Trust and Resilience (iSTAR) Laboratory（系统信任与弹性创新（iSTAR）实验室）；Texas A&M Institute of Data Science - Security, Privacy and Resilience for Trusted AI (SPARTA) Thematic Lab.（德克萨斯A&M大学数据科学研究所 - 可信人工智能的安全、隐私与弹性（SPARTA）主题实验室）；Texas A&M Global Cyber Research Institute (GCRI)（德克萨斯A&M大学全球网络研究所）
AIVV: Neuro-Symbolic LLM Agent-Integrated Verification and Validation for Trustworthy Autonomous Systems
School of Mechanical Engineering, Purdue University（普渡大学机械工程学院）；School of Electrical and Computer Engineering, Purdue University（普渡大学电气与计算机工程学院）；Department of Computer Science, Purdue University（普渡大学计算机科学系）；Department of Mathematics, Purdue University（普渡大学数学系）
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
European Commission, Joint Research Centre（欧盟委员会联合研究中心）；University of Alcalá（阿尔卡拉大学）；EPFL - Swiss Federal Institute of Technology（瑞士洛桑联邦理工学院）；University of Oxford（牛津大学）；BASt - German Federal Highway Research Institute（德国联邦公路研究所）；Reed Mobility（里德移动公司）
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
Macquarie University（麦考瑞大学）；Data61, CSIRO（联邦科学与工业研究组织数据61研究所）；Deakin University（迪肯大学）；University of Technology Sydney（悉尼科技大学）；Shangdong Computer Science Center, Qilu University of Technology（齐鲁工业大学山东省计算中心）
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles
University of California Merced（加州大学默塞德分校）；Aalborg University（奥尔堡大学）
Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network
School of Information and Electronics（信息与电子学院）；School of Interdisciplinary Science（交叉科学学院）；State Key Laboratory of CNS/ATM（CNS/ATM国家重点实验室）；Beijing Institute of Technology（北京理工大学）；Advanced Technology Research Institute（先进技术研究院）；Yangtze Delta Region Academy（长江三角洲地区学院）；School of School of Information Science and Engineering（信息科学与工程学院）；Institute of Intelligent Communication Technologies（智能通信技术研究院）；Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration（智能通信与传感-计算集成山东省重点实验室）；Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking（信息处理、通信与网络浙江省重点实验室）；Department of Electronic Engineering（电子工程系）；State Key Laboratory of Space Network and Communications（空间网络与通信国家重点实验室）；National Mobile Communications Research Laboratory（移动通信研究中心）；Purple Mountain Laboratories（紫金山实验室）
