Call For Papers

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 

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