How can 5G make our roads safer while keeping our data private?

Leveraging 5G Network Slicing and Edge Computing for Privacy-Compliant, Real-Time Autonomous Vehicle Operations

The problem

Autonomous Vehicles:
Addressing Transportation Challenges and Development Hurdles

Autonomous vehicles promise to revolutionize transportation by enhancing road safety, reducing traffic congestion, and improving mobility for those unable to drive. However, their development faces significant challenges.

Key hurdles include ensuring reliable real-time decision-making in complex traffic scenarios, maintaining safety in unpredictable environments, and managing vast amounts of sensor data efficiently. Additionally, there are concerns about privacy, cybersecurity, and the need for robust communication systems that can handle the high-speed, low-latency data transfer required for safe operation. The integration of autonomous vehicles into existing infrastructure and legal frameworks also presents considerable obstacles. Overcoming these challenges requires advanced technologies and collaborative efforts across multiple disciplines.

The solution

Pioneering 5G Innovation:
Network Slicing and Autonomous Vehicles

Telenor, in collaboration with KTH and Exense Vision, is spearheading the Tecosa research project, which utilizes first-generation network slicing in Telenor's 5G network for self-driving cars.

The project aims to develop advanced 5G services capable of handling heavy, complex computations in real-time. The test vehicle is equipped with multiple sensors to understand its environment and assess risks, while infrastructure sensors share information via 5G. Xsens Vision's Stereovision technology creates privacy-compliant 3D point clouds to detect objects and share positions in real-time with nearby connected vehicles.

The result

Enhancing Safety and Efficiency in Autonomous Driving

Enhancing Safety and Efficiency in Autonomous Driving This innovative approach results in improved safety and efficiency in autonomous driving. The real-time communication of high-quality data between sensors, vehicles, and infrastructure enables better risk assessment and immediate response to potential dangers.

The privacy-proof nature of the technology ensures GDPR compliance while still providing valuable data. The use of 5G and telco edge cloud technologies is crucial in achieving the necessary data quality and real-time communication for these advancements.

Driving Innovation and Safety

The Value Proposition of 5G-Enabled Autonomous Vehicles

This 5G-powered autonomous vehicle solution offers a compelling value proposition for businesses, researchers, and society at large. By leveraging advanced network slicing and edge computing, it creates new opportunities for developing and testing cutting-edge IoT and AI solutions in a real-world environment.

For the automotive industry, it paves the way for safer, more efficient autonomous driving systems that can react in real-time to complex traffic scenarios. The privacy-compliant data collection and sharing mechanisms address critical GDPR concerns, making it attractive for companies prioritizing data protection. Furthermore, this project serves as a blueprint for applying 5G technology to solve complex societal challenges, offering valuable insights for industries beyond transportation. By participating in or adopting similar solutions, organizations can position themselves at the forefront of technological innovation, contributing to the development of smart cities, improved road safety, and more sustainable urban mobility solutions.