Completed Computing & AI Engineering

AutopleX

In plain English

AI plain-English summary

Today’s semi-autonomous cars still require a human driver to take over when the vehicle’s sensors hit their limits—at blind junctions, fast-moving roundabouts, or sudden lane merges. The AutopleX project aims to remove that human backup entirely, pushing toward full, driverless autonomy (SAE Level 4+). The core problem is that current sensors—cameras, radar, lidar—cannot see around obstructions or react quickly enough in chaotic traffic. AutopleX tackles this by combining cybersecurity, vehicle-to-everything (V2X) communications, advanced driver assistance systems, and the Internet of Things into a single, coordinated system. If successful, the project would allow vehicles to negotiate complex junctions without a driver’s intervention, relying on real-time data exchanged between cars, infrastructure, and cloud systems. This matters because it directly addresses the gap between today’s partial autonomy and the fully self-driving vehicles that could reshape urban transport, reduce accidents at intersections, and change how road networks are designed. The impact is on infrastructure and communications systems that most people never notice—until they stop needing to grip the steering wheel.

View original technical description
Currently the automotive industry is launching semi-autonomous driver assist features where the driver has to be aware of their surroundings to regain control where the car can't cope. Moving towards full autonomy, the vehicle will have to operate without a driver as a backup. Vehicles will have to handle complex situations and any road junction. The vehicle relies on its sensors to operate safely and efficiently. These sensors have limitations when there are obstructions in the way or there are rapid lane change and fast moving traffic where a clear view is not possible for example some lane merges or roundabouts. The AutopleX project includes the technical domains of cybersecurity, cooperative autonomous driving, vehicle-to-anything (V2X) communications, Advanced Driver Assistance Systems (ADAS), and Internet of Things (IoT) to demonstrate enhanced autonomy for complex vehicle manoeuvres at junctions, supporting SAE Level 4+ autonomy.

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Related Research

Grants with similar aims, by meaning.

TASCC: The Cooperative Car
HumanDrive
AUTOmated driving Progressed by Internet Of Things
Hybrid intelligence for advanced collective perception and decision making in complex urban environments
Vision Inspired Driver Assistance Systems

Original classification

Collaborative R&D

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.