RODSNet: End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning
-
Updated
Feb 20, 2022 - Python
RODSNet: End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning
Stereo matching
This repository contains assignment, workshops and their solutions for one of my postgraduate subjects of COMP SCI 7315 - Computer Vision. The programming language is Python and report is written in LateX.
Dense disparity estimation via local stereo matching
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation (ICPR 2020)
This is a Modified repository, it is based on the original "Anytime Stereo Image Depth Estimation on Mobile Devices" by Yan Wang, Zihang Lai, Gao Huang, Brian Wang, Laurens van der Maaten, Mark Campbell, and Kilian Q. Weinberger. The original work has been accepted by the International Conference on Robotics and Automation (ICRA) in 2019.
An implementation of the block matching stereo vision algorithm.
Code for my engineering thesis on the topic of "Neural network for disparity estimation in stereo images"
Implement of Disparity Estimation of Stereo-endoscopic Images Using StyleGAN
Repo for implementation of StereoNet
This library provides an easy and accessible way to read and write .pfm files in C++ by only relying on the sandard library.
Add a description, image, and links to the disparity-estimation topic page so that developers can more easily learn about it.
To associate your repository with the disparity-estimation topic, visit your repo's landing page and select "manage topics."