Emmanuel Cadet sets new benchmark for secure and resilient autonomous driving systems

A new technical framework developed by software engineer Emmanuel Cadet is drawing international attention for its attempt to redefine how autonomous vehicles detect faults, defend themselves, and respond to risks in real time.

His latest study, published in the Engineering Science and Technology Journal, outlines an API driven microservices system that he believes will reshape the way intelligent vehicles are built and trusted.

In the paper, Cadet argues that the industry must move away from monolithic vehicle architecture, which he describes as rigid and vulnerable. His solution breaks vehicle functions into independent microservices that communicate via secure APIs.

He said the approach mirrors a network of intelligent organisms, each performing its task autonomously while remaining part of a connected whole.

Cadet noted that autonomous vehicles generate vast amounts of data every second. For him, the central challenge is not collection but interpretation, and his design aims to make every subsystem self-aware, recoverable, and capable of isolating faults.

A breakdown in navigation, for example, would not disrupt braking or communication. He said a smart system should be able to handle failures, adapt, and correct itself without shutting down. Predictive intelligence forms a key part of the framework. Cadet argues that vehicles should anticipate faults rather than react to them.

His model enables sensors to detect anomalies, such as overheating or vibration, and trigger automatic protective measures. This, he said, is the foundation for vehicles that can manage their own safety on the road.

Security is another pillar. The framework integrates OAuth2 authentication and TLS encryption to secure every connection between microservices and external systems. Cadet links this to public trust, saying people will only embrace autonomous vehicles when they believe the data and systems behind them are protected and transparent.

He also highlights the alignment between his work and the United Kingdom’s National Cyber Strategy, which promotes secure-by-design principles in artificial intelligence and connected transport.

Alongside the technical arguments, Cadet emphasises the ethical responsibility that engineers who build autonomous systems bear. He maintains that safety, privacy, and fairness must be embedded from the start, since autonomous machines operate in the real world.

His architecture is built to be scalable and adaptable, allowing manufacturers to integrate new sensors or artificial intelligence models without rebuilding entire systems.

Cadet sees the research as part of a broader movement prioritising reliability over speed. He said the goal is not simply to teach machines to think but to ensure they think responsibly.