(Include but not limited to)
Track 1: Internet of Vehicles and Communication Technologies
Vehicular Ad Hoc Network (VANET) and Internet of Vehicles (IoV) Architecture
Vehicle-to-Vehicle (V2V), Vehicle-to-Road (V2I), and Vehicle-to-Person (V2P) Communication Technologies
Vehicle-to-Cloud (V2C) and Vehicle-to-Infrastructure (V2X) Communication
5G/6G Vehicular Communication and Low Latency Transmission
Vehicular Wireless Sensor Network and Protocol Optimization
Cognitive Radio Application in Internet of Vehicles
Internet of Vehicles Spectrum Management and Interference Suppression
Internet of Things and Vehicular M2M Communication
Internet of Vehicles Security and Privacy Protection
Intelligent Roadside Unit (RSU) and Cooperative Sensing
Track 2: Edge Computing and Intelligent Sensing
Cloud-Edge-End Collaborative Internet of Vehicles Computing Architecture
Edge Intelligence and Vehicular AI Collaborative Inference
Multi-source Heterogeneous Perception Data Fusion and Cooperative Sensing in Internet of Vehicles
Internet of Vehicles Task Offloading and Edge Resource Scheduling
Real-time Data Processing of Vehicular Sensors (Radar, LiDAR, Camera)
Digital Twin-driven Internet of Vehicles Modeling and Simulation
Edge Computing and Fog Computing Architecture and Optimization
Vehicular Edge Computing and Mobile Edge Computing (MEC)
Edge Intelligence and Distributed Machine Learning
Real-time Data Stream Processing and Edge Caching Strategies
Containerization and Microservice Deployment for Internet of Vehicles
Edge Computing Resource Scheduling and Energy Consumption Management
Collaborative Sensing and Fusion Based on Edge Computing
Digital Twin Application in Edge Computing
Edge Federated Learning and Privacy-Preserving Computing for Internet of Vehicles
Low Latency Processing and Dynamic Filtering Algorithms for Internet of Vehicles Perception Data
Distributed Edge Intelligence and Multi-Vehicle Cooperative Sensing
Internet of Vehicles Edge Caching and Deterministic Transmission Technology
Track 3: Intelligent Transportation System and Autonomous Driving
Intelligent Transportation System (ITS) Architecture and Planning
Autonomous Driving Perception, Decision-making, and Control Technologies
Multi-Vehicle Cooperation and Queue Control
Traffic Flow Prediction and Congestion Mitigation Based on Internet of Vehicles
Path Planning and Dynamic Navigation System
Intelligent Signal Control and Intersection Management
High-Precision Maps and Positioning Technologies (GPS/GNSS/IMU/Lidar)
Traffic Big Data Mining and Visualization Analysis
Intelligent Traffic Safety Assessment and Risk Warning
Shared Mobility and New Urban Transportation Models
......