Wednesday, November 22, 2023, at 1:00 PM – 2:00 PM CET
To monitor the condition of the road surface, a mapping of its existing condition should ideally be carried out on a regular basis to detect any damage and determine its extent.However, performing a visual interpretation is a subjective and labour-intensive process. This also complicates periodic, comparable monitoring of the road surface condition.
A more efficient solution involves applying object detection, a form of Artificial Intelligence, to mobile mapping data. After detection, the damages are georeferenced and geospatially joined to track them in time.
Combining the obtained inventory with contextual information in a GIS, such as, traffic intensity, the proportion of vulnerable road users, accident data or other sources, allows targeted decisions to be made when determining priority maintenance.
In this webinar you’ll discover:
- Intro AI
- Input data, Mobile Mapping Data
- Road Damage Detection Pipeline
- Future
- Questions
Speakers:
- Maarten De Groodt, Data engineer, Geo Solutions
- Ruben Vijverman, Data engineer, Geo Solutions
