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End-to-End Teleoperated Driving Video Transmission Under 6G with AI and Blockchain.
Ignacio Benito Frontelo1, Pablo Pérez1, Nuria Oyaga1
1Nokia XR Lab, 28050 Madrid, Spain.
Sensors (Basel, Switzerland)
|January 28, 2026
Summary
Remote driving vehicles using AI and 5G networks is crucial for autonomous systems. This study analyzes video quality, AI object detection, and network optimization for enhanced teleoperated driving experiences and security.
Area of Science:
- Intelligent transportation systems
- Networked autonomous vehicles
- Cyber-physical systems
Background:
- Intelligent vehicle networks, leveraging machine learning (ML), artificial intelligence (AI), and blockchain, are expanding beyond transportation.
- Teleoperated driving systems, particularly under 5G networks, are essential for advancing autonomous driving capabilities.
- Integrating diverse technologies like video transmission, AI, network optimization, haptic feedback, and data security presents complex challenges.
Purpose of the Study:
- To explore how integrated technologies can enhance teleoperated driving experiences.
- To analyze the correlation between video transmission quality and AI object detection performance.
- To investigate the potential of extended reality (XR), digital twins, 6G networks, and decentralized security for future teleoperated driving.
Main Methods:
- Analysis of video transmission quality in real-world teleoperated driving scenarios.
- Evaluation of state-of-the-art AI object detection algorithms in conjunction with video data.
- Exploration of extended reality (XR) and digital twin paradigms for immersive control and monitoring.
- Assessment of network optimization strategies for future 6G networks.
- Proposal of decentralized security architectures for enhanced privacy and safety.
Main Results:
- Established a correlation between video quality and the effectiveness of AI object detection algorithms.
- Demonstrated the potential of XR and digital twins to improve teleoperation situational awareness.
- Identified key network optimization parameters for maximizing performance in 6G environments.
- Proposed a novel decentralized security schema to safeguard teleoperated driving infrastructures.
Conclusions:
- The integration of advanced AI, XR, and robust network solutions is vital for the future of teleoperated driving.
- Optimizing video transmission and implementing decentralized security are critical for reliable and safe autonomous systems.
- Future teleoperated driving systems will benefit from 6G capabilities and digital twin integration for enhanced performance and user experience.
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