What we do

Fully automated driving

Propelmee is creating a new ‘state-of-the-art’ for autonomous vehicles. We are developing fully automated driving technology which can safely contend with the most challenging on-road driving scenarios, across geographies, on all types of roads, and in adverse weather.

Propelmee’s SAE-Level 4 automated driving technology, SkyBlu™ is powered by VisionAI, a generalisable visual cognition engine for autonomous driving, and AutoMap, an ultra-lightweight, long term persistent, scalable mapping technology.

How we do it

understand the world

Propelmee’s autonomous vehicle technology relies on ‘Perception’, through a highly differentiated technology approach, delivering rich scene understanding to an autonomously driven vehicle, much the same way people perceive their environment.  At its core, this perception technology converts raw sensor data from multiple sensors, into meaningful scene understanding in real-time, and therefore functions as the critical safety layer for autonomous vehicles to operate successfully and safely in complex on-road scenarios. Autonomous vehicles are provided with the semantic meanings of where they are operating, what is around them, and can make intelligent driving decisions learned through inferring the likely behaviours of other road users, for predictive and superior driving decisions.

go anywhere

Propelmee’s localisation technology allows autonomous vehicles to precisely estimate their position in all driving scenarios and even in GPS denied environments.  Propelmee stands apart in its technological approach to developing autonomous driving software for true functionality scale-up to SAE-Level 5 automated driving.

Patent-pending Technology

Propelmee has an aggressive IP protection strategy and has carved out broad ‘freedom to operate’ in autonomous mobility. Propelmee’s entire autonomy stack is based on patent-pending technology.

Our Vision

Automate the world’s road transport

The Review

Thoughts, ideas, and updates

What really is “Perception” for autonomous vehicles

Perception is the term used to describe the visual cognition process for autonomous cars. Perception software modules are responsible for acquiring raw sensor data from on vehicle sensors such as cameras, LIDAR, and RADAR, and converting this raw data into scene understanding for the autonomous vehicle. The human visual cognition system is remarkable. Human drivers …

What really is “Mapping” for autonomous vehicles

“Mapping” is a commonly associated term with autonomous vehicles. We generally think of maps as birds-eye view representations of roads and geographies which highlight important features like the locations of buildings, roadside infrastructure and places of interests. Maps are used by people for navigation – to answer the question, “how do I get there?”, however, …