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.

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.

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

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)