Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Awaiting Public Project Summary
Level Crossing (LC) safety a key issue across EU & global rail networks. The global need to
improve LC safety has led to the development of a number of Level Crossing Obstacle
Detection (LCOD) systems, but none are reported to fully meet rail operator cost or
performance requirements. The current leading LCOD radar system needs a clear background
for measurements when no objects are present & is not able to measure objects close to the
ground. It has a narrow elevation beam & needs to be mounted sufficiently high so that the
ground & ground level clutter is not covered by the beam. To detect children or low level
objects, additional systems, usually lasers are required. This need for a combination of sensors
means overall systems are complicated, costs are high & installation rates are limited.
The project objective is to prove the concept of a low cost, all-weather, high performance, and
high reliability radar system for LCOD that meets rail operator requirements. Guidance
Automation Ltd (GAL) will use an electronic scanning FMCW radar operating at 24 GHz
with a small Multiple In Multiple Out (MIMO) patch antenna array, mounted at ground level.
For a viable solution the software & algorithms enabling ground clutter cancellation &
accurate object of interest identification need to be robustly proven. GAL with its subcontractors
University College London (UCL) & Cambridge Pixel has world leading technical
capability in sensor development, radar imaging & data processing. The project will; Collect
representative radar data; Develop & test algorithms to provide robust object detection for
both moving & stationary objects whilst also not resulting in false positives; Sensor analysis
to determine the optimum resolution to minimise cost, improve processing speed & detection
accuracy & Design & construct test unit for system trials.
The project is initially focused on the rail sector but also provides opportunities in mining,
airports, & tramways.
The project will develop a new Location-Based Service (LBS) utilising novel technology to track the locations of trackside workers in the rail industry. The service provides the ability to define safe working zones and provide robust alerts if workers stray outside zones. The use of the new technology makes it applicable in cuttings, tunnels, under bridges and underground. The project will last 2 years with a total value of £991K. The consortium includes Guidance Navigation, Blue Frog Design, Network Rail, and Oxford University. There is a clear need for a technology that works, providing a LBS in GPS-denied terrain to provide awareness and management of worker location on the track, a dangerous working environment.
The project will develop a new Location-Based Service (LBS) utilising novel technology to track the locations of trackside workers in the rail industry. The service provides the ability to define safe working zones and provide robust alerts if workers stray outside zones. The use of the new technology makes it applicable in cuttings, tunnels, under bridges and underground. The project will last 2 years with a total value of £991K. The consortium includes Guidance Navigation, Blue Frog Design, Network Rail, and Oxford University. There is a clear need for a technology that works, providing a LBS in GPS-denied terrain to provide awareness and management of worker location on the track, a dangerous working environment.