(The following topics include but are not limited to)
Track 1: Edge Computing
Edge computing framework design
Edge node virtualization
Collaboration between edge computing and cloud computing
Intelligent sensing algorithms for edge computing
Deep learning applications in edge computing
Adaptive learning technologies for edge computing
Data mining in edge computing
Enhanced learning in edge computing
Integration methods of edge intelligence algorithms
Prediction models for edge computing
Automatic decision-making in edge computing
Optimization algorithms for edge computing
Feature extraction for edge computing scenarios
Image processing technologies in edge computing
Natural language processing in edge computing
Real-time analysis of edge computing data
Heterogeneous intelligent algorithms in edge computing
Track 2: Vehicular Internet of Things
Integrated network architecture, protocols and resource orchestration for air-ground-vehicle internet of things
C-V2X, 5G/6G vehicular communication technologies and intelligent networking
The theory, mechanism and prototype system of vehicular perception, computing and deep integration in the Internet of Things
Multi-agent collaborative perception, decision-making and swarm intelligence for vehicles, roads and clouds
Autonomous driving large models: integration of perception, prediction, planning and control
End-to-end autonomous driving, generative decision-making and online adaptive optimization
Collaborative perception and multi-sensor fusion technology
Distributed AI and multi-agent collaborative learning in the vehicular Internet of Things
Track 3: Autonomous Driving Systems
Autonomous computing
Vehicle Internet of Things
Edge computing
Vehicle sensor fusion
Vehicle control and motion planning
Vehicle scheduling
High-performance embedded computing
Decision-making and planning
Target tracking/identification
Sensor signal processing
Integrated system of perception, decision-making, planning and control in autonomous driving
Multimodal environment perception fusion (vision, lidar, millimeter-wave radar)
End-to-end autonomous driving, world model and scene representation
Vehicle motion planning, trajectory generation and optimization control
Expected Function Safety (SOTIF), cybersecurity and privacy protection
Autonomous driving simulation platform, scene library construction and generalization testing
Hardware-in-the-Loop (HIL) and vehicle-in-the-Loop (VIL) verification
Safety, redundancy design and fault-tolerant control ……