Offline procedural generation of realistic road environments in Cities: Skylines
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Updated
Oct 18, 2023 - Python
Offline procedural generation of realistic road environments in Cities: Skylines
📦🐍 Python package to model and forecast the risk of deforestation
This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.
Real-time detection of potholes on roads using video (via Webcam) processed through a CNN model.
[IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI.
roadway.report is a map of every traffic death in the USA
Automated spatial quality checker for buildings and roads — detects overlaps, containment issues, and geometry conflicts with clean outputs
Spain Roads Visualization 🛣️🚘
Python module to calculate vehicle emissions based on the 2016 EU EEA guidebook: http://www.eea.europa.eu/publications/emep-eea-guidebook-2016. The module lets you calculate routes between two points in Norway and sort them based on the total emission for various types of pollutants.
Qgis Processing tool for buffering line geometry (roads) to polyogn by the weights (number of lanes)
The goal of this project is to classify the roads of Switzerland based on the type of their surface, artificial or natural.
A deep Learning mdoel for segmentation for India roads, finetuned for Indian conditions
[Data Viz] Visualization of road infrastructure quality in the world.
Open-source toolbox developed as a master’s thesis result for automated assessment of road efficiency in EU cross-border regions using Python, ArcPy and ArcGIS Pro.
World Roads Visualization 🛣️🚘
Solvation for duckietown road type prediction
RoadGen: Generate roads in a 2D Cartesian plane.
Python module to take .klm Google Timeline data and produce a map of roads traveled.
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