2027 4th International Conference on Autonomous Driving and Intelligent Sensing Technology (ADIST 2027) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
The topics of interest for submission include, but are not limited to:
📚︎Autonomous Driving System & Collaborative Vehicle Technology
Autonomous Driving System Architecture
Multi-Vehicle Platoon Cooperative Driving
Cloud-Edge Collaborative Autonomous Driving
Intelligent Vehicle Integration Technology
Advanced Driver Assistance Systems (ADAS)
Autonomous Driving Test and Verification
Vehicle Intelligent Scheduling and Planning
Autonomous Driving Scene Perception
Virtual Driver System Technology
Intelligent Vehicle Application Practice
📚︎Intelligent Vehicular Sensing & Multi-Source Fusion
Vehicle Onboard Sensing Technology
Multi-Sensor Information Fusion
Vehicular Target Detection and Recognition
Multi-Target Tracking Technology
Weak and Small Target Tracking Algorithm
Optoelectronic Infrared Sensing Tracking
Vehicle Positioning Based on Sensor Fusion
Vehicular Sensor Signal Processing
Distributed Target Tracking Technology
Vehicle Perception Data Association
📚︎AI-Enabled Vehicular Wireless Communication
Intelligent Vehicular Network Communication
AI-Driven Communication Resource Scheduling
Vehicle Edge Communication Computing
V2X Intelligent Communication Technology
Wireless Network Anti-Interference for Vehicles
Vehicular Communication Data Optimization
Distributed Vehicular Network Transmission
Intelligent Communication Fault Diagnosis
AI-Based Vehicular Network Modeling
High-Speed Vehicle Communication Technology
📚︎Intelligent Vehicle Control & Decision System
Intelligent Vehicle Motion Control
Distributed Vehicle Control System
Data-Driven Control and Decision
Networked Vehicle Control Technology
Multi-Criteria Driving Decision-Making
Vehicle Powertrain and Electrification Control
AI-Based Vehicle Intelligent Control
Vehicle Safety Control and Early Warning
Embedded Intelligent Computing for Vehicles
Green and Intelligent Vehicle Control