Discover Amsterdam-AI-Team/Geolocalization_of_Street

Stars
3
Rank 3,963,521 (Top 79 %)
Language
Python
Created about 4 years ago
Updated almost 3 years ago

Amsterdam-AI-Team

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

In this repository, an approach is implemented to automatically detect and geolocate public objects, solely based on public available panoramic images. The objects of interest are assumed to be stationary, compact and observable from several locations each. In this project the objects being detected are bicycle symbols.

Urban_PointCloud_Processing

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

Python

3D_Ground_Segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

C++

1.5-meter-monitor

Because of COVID19 measures have been taken to prevent person to person detection, one of the most influential and important new regulation is to keep 1.5 meters distance from each other. To help remind citizens to maintain this distance we have created the 1.5 meter monitor.

Python

Tree_Detection_in_Aerial_Point_Clouds

Data processing for urban tree detection in aerial 3D point clouds. Analyzing tree data in Amsterdam 🌳

Python