2025 International Conference on Intelligent Vehicles (ICoIV 2025)
ICoIV 2025
- URL: https://www.icoiv.org/reg.html
- Event Date: 2025-11-14 ~ 2025-11-16
- Submission Date: 2025-10-14
- Organizer: HKSRA
- Location: Xi'an, China
Computing Systems Real-time & Embedded Systems
Submission Deadline: October 14, 2025
Conference Dates: November 14-16, 2025
Location: Xi'an, China
Website: www.icoiv.org
Contact: Ms. Sukki Jiang
For questions related to paper submission, email: email@icoiv.org
Publication Information
All accepted and presented papers of ICoIV 2025 will be published in the conference digital proceedings which will be submitted to Ei Compendex, Scopus and other major databases for indexing.
Accepted and selected extended papers can be recommended to publish in the following journal: "International Journal of Vehicle Systems Modelling and Testing" (ISSN: 1745-6444).
Program
November 14: Registration + Icebreaker Reception
November 15: Opening Ceremony+ KN Speech+ Technical Sessions
November 16: Technical Sessions+ Half day tour/Lab tours
Paper Submission
Submit Via CMT: https://cmt3.research.microsoft.com/ICoIV2025
Topics of Interest
Intelligent transportation system
Active and Passive Vehicle Safety
Advanced Driver Assistance Systems
Autonomous and Intelligent Robotic Vehicles
Collision Avoidance
Connected Vehicles
Cooperative Vehicle-infrastructure Systems
Driver Behavior and Risk Assessment
Driver Status Monitoring and Intention Recognition
Eco-driving and Energy-efficient Vehicles
Environment Perception and Recognition
Human Factors and Human-Machine Interaction
Image, Radar, Lidar Signal Processing
Intelligent sensors
Integrated Safety of Road Users
Intelligent Decision and Motion Control
Intelligent Vehicle Software Infrastructure
Interfaces and Displays for Intelligent Vehicles
Multi-Sensor Information Fusion
Navigation and Localization Systems
Policies and Regulations for Intelligent Vehicles
Proximity Awareness Technology
Road Vehicle Dynamics and Control
V2V and V2I Communication
Vehicle Hardware / Software Systems
Vehicle On-board Diagnostics
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