Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
What I have learned creating responsible AI for the city
Automatic labelling of urban point clouds using data fusion
Helping citizens find relevant information in the City Archive using Artificial Intelligence
Computing accessible sidewalk width using point clouds and topographical maps
Simulation of Tree Root Growth in 3D Amsterdam
Urban PointCloud Processing
An Interview with Jorrit Ypenga on the detection of fences and quay walls
Accessible Sidewalk Width
We want to offer competitive, ethical, scalable and sustainable solutions to the citizens.
AI for good ensures responsible applications, promotes education, and motivates cooperation between professionals. Together, we will help Amsterdam achieve its ambition as a free, just and sustainable city.
Amsterdam for All
Amsterdam for all consists of a series of experiments to help to measure accessibility in the city.
Internships highlight the amazing work that has been developed by our AI and Data Science students.
3D Point Cloud
3D Point Cloud, rather than pictures, provides a 3D model from the whole city to accurately locate assets.
Street View Panorama Images
Panorama images are collected to add information to 3D models, determine the condition of assets, and mapping.
1.5 Meter Monitor
1,5 MM detects the distance between citizens, helping them to comply with covid regulations.
Object Detection Kit
ODK is an image recognition kit for municipalities to detect different types of objects in the streets.
Deputy Mayor for the Digital City
“I support the development of responsible AI. I think it will be important to Amsterdam as a city and to everyone who lives here.”
from ‘Amsterdam Intelligence’ magazine