About
The IEEE Intelligent Vehicles Symposium (IV 2027) is the premier annual forum organized by the IEEE Intelligent Transportation Systems Society (ITSS). IV 2027 will take place in Perth, Western Australia. Researchers, academics, and practitioners from universities, industry, and government agencies are invited to submit their latest research papers, simulation challenges, and applications on Intelligent Vehicles and Intelligent Vehicle Infrastructures. The symposium will feature Plenary Talks, Technical Sessions, Poster Sessions, Tutorials, Workshops, Exhibitions, and Industrial Demonstrations and Challenges, plus a memorable Social Program for all participants. Authors are invited to submit full-length papers up to 6 pages (including figures and references).
Important Dates
| Milestone | Deadline |
|---|---|
| Conference | |
| Submission Portal Opens | Jul 1, 2026 |
| Paper Submission | Nov 15, 2026 |
| Paper Notification | Jan 15, 2027 |
| Camera-ready | Feb 1, 2027 |
| Industry Track | |
| Paper Submission | Mar 15, 2027 |
| Paper Notification | Mar 31, 2027 |
Topics of Interest
Automated & Autonomous Vehicles
- Foundation Models for Autonomous Vehicles
- LLM and VLM Applications
- Motion Planning and Intelligent Vehicle Control
- End-to-End Driving Systems
- Simulation and AI Scene Augmentation
- Advanced Driver Assistance Systems
- Off-road Autonomous Driving
- Autonomous Boats and Underwater Vehicles
- Unmanned Aerial Vehicles
Connected and Cooperative Vehicles
- Cooperative Perception and Localization
- Cooperative Planning and Control
- Vehicle-to-Everything (V2X) Communication
- Teleoperation and Remote Driving
Sensing and Perception
- Image, Lidar, Radar, IMU, RTK
- Localization and Mapping
- Multi-sensor Fusion
- Scene Understanding
Data Sets
- Automotive Data Sets
- Simulation Data Sets
- AI-generated and modified Data Sets
Traffic Dynamics and Efficiency
- Foundation Models for Traffic Management
- Smart Infrastructure for Intelligent Vehicles
- Eco-Driving and Energy-Efficient Vehicles
- Micromobility and AI Applications for Mobility
Safety and Security
- Active and Passive Vehicular Safety
- Collision Avoidance and Formal Safety Guarantees
- Virtual and Mixed Reality Crash Tests
- Simulations and Real-World Testing Methodologies
- Pedestrian and Vulnerable Road User Protection
- Cybersecurity of Intelligent Vehicles
Human Factors
- Driver State and Intent Recognition
- Human Factors for Intelligent Vehicles
- HMI Design
Regulatory and Society
- Regulatory Framework
- User Acceptance and Trust
- Road Safety Impact of ADAS and AV
- Large-Scale Deployment of AV
