[CVPR-2018] Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation

A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.

we introduce R2S100K---a large-scale dataset and benchmark for training and evaluation of road segmentation in challenging unstructured roadways.

This is a comprehensive project focused on developing advanced algorithms for autonomous driving, including adaptive cruise control, model predictive control (MPC), and robust scene understanding in various weather conditions.

University project for Digital Sistems

RGB-D Scene Reconstruction & Segmentation with Neural Network trained on synthetic database