Signs to Lines
Signs to Lines
Lidar, photography & machine learning
Kerbside Restrictions, otherwise known as Traffic Regulation Orders, are currently represented as either Text Based or Mapped Based orders. Local Authorities use these as legal instruments to implement most traffic controls on their roads.
Unfortunately TROs are currently designed, managed and publicised using outmoded technology, resulting in poor end-to-end data capabilities that are essential for connected and automated vehicles (CAVs) to interact freely with the kerb.
Government bodies are putting increasing pressure on local authorities to expose good parking data in the effort the help reduce congestion and pollution. The Department of Transport have also highlighted the need for connected cars and autonomous vehicles to be connected to a digital infrastructure layer over the existing road network.
The ‘Signs to Lines’ Mapping technology uses a combination of state of the art vehicle mounted LiDAR scanners, photography and machine learning. The revolutionary rapid data capture and processing techniques is faster, cheaper and more accurate than existing mapping methods and is key to delivering better data to local authorities.
The machine learning process combines every restriction, rule type, tariff and exemption and creates the world’s first standardised HD Kerbside maps accurate to 3 cm.
Standardised HD Kerbside Restriction Maps open up huge opportunities within the smart city and intelligent mobility sector.