Hybrid Conferencee

International Conference on Data Science for Autonomous Vehicles (ICDSAV - 26)

29th - 30th June 2026 | Birmingham, UK
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Birmingham. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Birmingham event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Birmingham conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Birmingham, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Birmingham."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDSAV aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Data science techniques for autonomous vehicles
02
Machine learning applications in self-driving cars
03
Sensor fusion for autonomous vehicle systems
04
Real-time data processing in autonomous driving
05
Safety and reliability in autonomous systems
06
Data governance in autonomous vehicle data
07
Ethical considerations in autonomous vehicle data
08
Predictive maintenance for autonomous vehicles
09
Autonomous vehicle navigation using data science
10
Challenges in data collection for autonomous driving
11
User experience design for autonomous vehicles
12
Case studies of data science in autonomous vehicles
13
Future trends in autonomous vehicle technology
14
Data privacy issues in autonomous driving
15
Integration of AI in autonomous vehicle systems
16
Simulation techniques for autonomous vehicle testing
17
Data-driven decision making in autonomous driving
18
Collaboration between vehicles and infrastructure
19
Impact of data science on transportation systems
20
Frameworks for evaluating autonomous vehicle performance