There are 7 repositories under road-segmentation topic.
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.
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
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。
Segmenting satellite images of earth : determining which parts are roads.
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
Road segmentation using CNNs
Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset
Road Segmentation using Deep Learning
:mortar_board: ML project for EPFL course CS-433 Machine Learning. Comparing ResNet and UNET for a road segmentation task.
Pixel wise semantic segmentation for highway roads using FCN-8 architecture
Project for CS-433 Machine Learning @ EPFL
Road Segmentation from Satelite images using custom Unet model
FCN implementation for road segmentation
Code for the project "LinkNetB7: LinkNet with Pretrained Encoder for Efficient Road Segmentation"
A small and fast CNN-based segmentation network is used to segment road / vehicles+pedestrians / other objects from the scene. The data collector uses CARLA simulator.
Deep Learning based Road Segmentation using Satellite Imagery
Combining Visual Transformers and U-shaped Networks for Road Segmentation
This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system
Course Project of the Computational Intelligence Lab FS20 - Road Segmentation on Satellite Images
Road sementics segmentation using PSPU-NET
A guide to use MMSegmentation to develop and benchmark different models on custom dataset.
Implementation of object detection and semantic segmentation of traffic objects in the front facing car camera using OpenVINO's pretrained models.
Road Segmentation.Image Segmentation using CNN Tensorflow with SegNet
Training pipeline for deep neural networks for computer vision developed in Pytorch Lightning
This repository is about my Final Project of my undergraduate course "Processamento Digital de Imagens" or Digital Image Processing, at UFABC.