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2d-3d-pose-tracking

Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences

3dline-slam

3DLines-SLAM: A Monocular Vision Semi-Dense 3D Reconstruction Based on ORB-SLAM Abstract-Producing high-quality 3D maps and calculating more accurate camera pose has always been the goal of SLAM technology. The requirements of SLAM technology such as real-time, low computational cost, and low hardware cost are contradictory to the above objectives. For the issues listed above, we propose a novel semi-dense reconstruction algorithm based on the monocular ORB-SLAM system by matching the line segment features extracted from keyframes. Specifically, we build upon ORB-SLAM, the system first provides a set of keyframes and their corresponding camera poses and a series of map points in real-time. Then we use our developed a keyframe re-culling algorithm to culling redundant keyframes. Then an improved line segment extraction method is used to extract line segments in each keyframe. Finally, we use purely geometric constraints to generates accurate 3D scene model by matching 2D line segments from different keyframes. We thoroughly evaluate and in-depth analysis of our approach, the results show our system runs steadily and reliably. Not only the whole system has strong robustness, but also it can quickly generate an accurate 3d model online with low computational costs.

adaptivegoalmanagement

alicevision

Photogrammetric Computer Vision Framework

als_ros

An advanced localization system for ROS use.

alvio

Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments

awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

cam_rtsp

opencv - rtsp

cartographer_detailed_comments

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centertrack

Simultaneous object detection and tracking using center points.

chaos

:fire: CHAOS is a Remote Administration Tool that allow generate binaries to control remote operating systems.

cmake-cookbook

CMake Cookbook recipes.

computer_vision_project

This application detects the object through camera and shows the size(length) of an object. The object measurement using stereo camera is better than object detection using a single camera that was proposed in many previous research works. The proposed measurement system consists of object detection on the stereo images and blob extraction and distance and size calculation and object identification.

cumulocity-smart-map-settings-widget

This is configuration widget for Smart Map Widget. Runtime installation is available. Created by Global Presales.

cumulocity-smart-map-widget

The Smart Map widget help you to track real-time device locations in indoor with multi floor infrastructure as well as in outdoor. Runtime installation is available. Created by Global Presales.

cv-monoslam

:camera:This is a monocular SLAM project based on ceiling vision.

demos

dung-nd

Config files for my GitHub profile.

dynamic_robot_localization

Point cloud registration pipeline for robot localization and 3D perception

eagleye

Precise localization based on GNSS and IMU.

edgedirectvo

Edge-Direct Visual Odometry

epoll-http-server

A simple http server with epoll.

event-based_vision_resources

fast-3d-pointcloud-segmentation

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

frigate

NVR with realtime local object detection for IP cameras

geogebra

GeoGebra apps (mirror)

gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

gvins-dataset

A dataset containing synchronized visual, inertial and GNSS raw measurements.

hpp2plantuml

Convert C++ header files to PlantUML