[CVPR-2018] Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation
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Updated
Apr 22, 2020 - MATLAB
[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.
RGB-D Scene Reconstruction & Segmentation with Neural Network trained on synthetic database
University project for Digital Sistems
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