FLaME: Fast Lightweight Mesh Estimation

ROS bindings for FLaME: Fast Lightweight Mesh Estimation.

ROS bindings for FLaME: Fast Lightweight Mesh Estimation.

This repository contains the codes, files and other resources for dynamic controls for UAV using monocular vision odometry. The aim of the project is to work on feature based tracking methods and fuse the pose estimate with IMU for a Quadrotor.

Experiments on visual odometry using monocular camera. Plan to eventually experiment with Deep Learning for features.

Code for learning SLAMBOOK

Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame

📚 ☕ There are a lot of problems with installing Monocular UI with Helm. I found the Docker Compose installation method on the Internet and integrated it here.（使用 Helm 安装 Monocular UI 遇到了很多问题，在网上找到了 Docker Compose 安装的方法，在此整合一下）

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

MATLAB Implementation of Monocular Odometry

monocular-docker-compose

Monocular Visual Odometry using optical flow and Fast Feature detector

PatchGAN's for refining Monocular Depth Estimation.

Repositorio de código del artículo de enmilocalfunciona.io

Repositorio de código del artículo de enmilocalfunciona.io

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

Implementation for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

Pytorch framework for supervised depth prediction

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

a project to do depth estimation and segmentation using PyTorch