Python framework for integrating geospatial data, 3D city modeling, and urban simulation.

Accurate, detailed, and automatic modelling of laser-scanned trees

Urban Environment Simulator Code for Testing your Target Tracking Algorithms.

An open-source PGM-based autonomous driving simulator for complex urban environments.

Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation

We proposes a novel and robust 3D object segmentation method, the Gaussian Density Model (GDM) algorithm. The algorithm works with point clouds scanned in the urban environment using the density metrics, based on existing quantity of features in the neighborhood. The LiDAR Velodyne 64E was used to scan urban environment.

Open dataset and code for Canonical Correlation Analysis of air quality and meteorological variables in Bucaramanga, Colombia (2021–2023). Includes raw and processed data, R/SAS scripts, and FAIR/open science documentation.

Visual analysis of the amount of advertising in the urban environment using computer vision (U-Net + PSP-Net) || Визуальный анализ заполненности городской среды элементами рекламы с помощью компьютерного зрения (U-Net + PSP-Net)

Cartographic visualization of urban environment indicators in municipalities of the Moscow Region

Agent-based model of non-exhaust particle emissions at an urban intersection in pure Julia. Simulates brake, tyre, and road wear with resuspension at sub-second resolution.