SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)

Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

Road Segmentation in Satellite Aerial Images

2D road segmentation using lidar data during training

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.

使用OpenCV部署HybridNets，同时处理车辆检测、可驾驶区域分割、车道线分割，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 彻底摆脱对任何深度学习框架的依赖。

Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery

A course project for road segmentation using a U-Net Convolutional Neural Network on the KITTI ROAD 2013 dataset

YOLOPv2のPythonでのONNX推論サンプル

Multi-Modal Multi-Task (3MT) Road Segmentation, IEEE RA-L 2023

Segmenting satellite images of earth : determining which parts are roads.

Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset

Road segmentation using CNNs

Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.

Road Segmentation using Deep Learning

🎓 ML project for EPFL course CS-433 Machine Learning. Comparing ResNet and UNET for a road segmentation task.

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