Geofencing : collaboration for road sign gap analysis : final report
Publication details: [Norden] : NordicWay, 2024Description: 19 sSubject(s): Online resources: Abstract: This report describes a sub-project within the Geofencing project of NordicWay 3. The project contributes to further developing the core infrastructure upon which geofencing can be based. The main purpose of the subproject was to answer the question “What do we need to do to provide up-to-date digital traffic regulations?”. Traffic regulations are stored digitally using databases such as NVDB. Ensuring these digital records has been difficult and time-consuming. As a result, digital records of traffic regulation may be different to those indicated in the real world. In this case, autonomous and human driven vehicles will be operating according to a different understanding of the traffic regulations. This can have serious safety implications. As such, the Geofencing consortium has concluded that a key step in achieving their objective is to build “gap analysis” capability. That is, to build systems and tools to assess the difference between digital records of traffic regulations and those indicated in the real world. An example is a system that is capable of assessing the difference between the type, number and location of road signs presented in the real world and the record of those signs stored digitally. In order to meet the ever-increasing need for up-to-date, high-quality data, any system to deliver “gap analysis” capability must be cost-effective and scalable.This report describes a sub-project within the Geofencing project of NordicWay 3. The project contributes to further developing the core infrastructure upon which geofencing can be based. The main purpose of the subproject was to answer the question “What do we need to do to provide up-to-date digital traffic regulations?”. Traffic regulations are stored digitally using databases such as NVDB. Ensuring these digital records has been difficult and time-consuming. As a result, digital records of traffic regulation may be different to those indicated in the real world. In this case, autonomous and human driven vehicles will be operating according to a different understanding of the traffic regulations. This can have serious safety implications. As such, the Geofencing consortium has concluded that a key step in achieving their objective is to build “gap analysis” capability. That is, to build systems and tools to assess the difference between digital records of traffic regulations and those indicated in the real world. An example is a system that is capable of assessing the difference between the type, number and location of road signs presented in the real world and the record of those signs stored digitally. In order to meet the ever-increasing need for up-to-date, high-quality data, any system to deliver “gap analysis” capability must be cost-effective and scalable.