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Hybrid Event

14th - 15th September 2026 | Taipei City, Taiwan

International Conference on Autonomous Vehicles and Machine Learning (ICAVML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICAVML) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning for autonomous navigation
02
Sensor fusion in autonomous vehicles
03
Safety and reliability in AV systems
04
Real-time decision making for AVs
05
Machine learning for traffic prediction
06
Human-vehicle interaction technologies
07
Ethical implications of autonomous vehicles
08
Data privacy in autonomous driving
09
Vehicle-to-everything communication
10
Autonomous vehicle simulation techniques
11
Machine learning for route optimization
12
Challenges in AV deployment
13
Machine learning in driver assistance systems
14
Autonomous vehicle perception systems
15
Integration of AI in AV technology
16
Regulatory frameworks for AVs
17
Future trends in autonomous driving
18
Machine learning for fleet management
19
Environmental impact of autonomous vehicles
20
Collaborative driving systems with ML

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.