The HORUS System (HORUS) is an Advanced Driver Advisory System (ADAS) using real-time sensors and software for assisting a driver in the safe operation of a locomotive. 4Tel has selectively applied modern autonomous car technology to deliver a very sophisticated artificial intelligence-based ADAS system.
For safe and efficient operations, a locomotive needs to know exactly where it is, recognise the objects around it and continuously monitor the authorised route for normal operations. The HORUS system fulfils this role by integrating multiple sensor data in real-time to allow a comparison with the previous record of any given track section, using neural network processing in an on-board processor. HORUS then provides the functionality to apply software processes to conduct the computationally intensive algorithms for object detection, localisation, awareness, dynamics and route monitoring.
The total system requires a central data centre that collects as-run video that is then used to update the HORUS stylised track reference record called the "Master Sequence" for the route travelled. The overall process uses ‘deep learning’ techniques to ‘learn' any route changes and update the Master Sequence. On-board a locomotive, the differences allow a locomotive’s HORUS processor to recognise both normal and abnormal operations for any given track location.
Deep Learning plays a vital role through the entire HORUS system. In this way, computers are not simply programmed on what to expect along a route, but also with processes for learning route knowledge enabling the ‘artificial intelligence’ system to become increasingly ‘smarter’ based on experience.
- Detection – Using sensors to understand the environment
- Localisation - Using measurement to create a detailed map
- Awareness - Interpreting real-time virtual 3D environment
- Dynamics - Calculating dynamic movement
- Monitoring – Continuous checking of operation
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