Accepted Papers

The following papers have been selected by the Program Committee for presentation at MOST 2026. The detailed program will be announced soon.


  • Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
  • An Explainable Deep Learning-based Intrusion Detection Framework for Smart Mobility
  • Can I Park Here? Understanding Complicated Parking Signs on the Street
  • Computation–Accuracy Trade-Off in Service-Oriented Model-Based Control
  • Topographical Density Mapping: A Novel Density-Based Clustering Algorithm for Automotive Radar Applications
  • An LLM-based Waterway Scheduling Agent Integrated with Semantic Perception and Evolutionary Optimization
  • Deep Reinforcement Learning for City-Scale Adaptive Traffic Signal Coordination in Mixed Human–Autonomous Road Networks
  • Cost of convenience in long-dwell public electric vehicle charging
  • Low-Cost Multimodal Data Acquisition Systems for Autonomous Vehicle Training in Emerging Markets
  • Toward Robust Autonomous Driving in Rural and Off-Road Environments: A Perception Based Approach
  • BRIDGE: Task-Aware LiDAR Point Cloud Compression with Optimal Detection-Critical Subset Learning
  • Infrastructure-Guided Connectivity-Enhanced Road Crack Detection and Estimation
  • Fusion of Heterogeneous and Multi-Location Sensors for Collective Perception
  • LightAD: A Lightweight Vision-Based Autonomous Driving System
  • Log What Matters: Safety-Aware Adaptive Logging for CAVs in Dynamic Conditions
  • AI-Assisted Driver Situational Awareness for Improved Traffic Flow at High Density Intersections
  • A Reproducible, Data-Driven Framework for Safety and Functionality Verification of Level-4 Automated Buses Through Real-World Testing
  • SCARF-SLAM: Spatially Confidence-Aware Aggregation for Federated Implicit Neural SLAM
  • User Diversity in Advanced Driving System's Design and Validation: Empirical Insights for Parking Assistance Systems
  • Secure-BSM: Blockchain-Assisted Collaborative Misbehavior Detection in Vehicular Networks
  • LaViCoN: Language and Vision Cooperative Navigation for Assistive Mobile Robots