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3dhandclassification

A repo for my Graduate Computer Vision I semester project

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

apollo

An open autonomous driving platform

apollo-1

自动驾驶Apollo源码注释.(annotated Apollo 1.0 source code)

awesome-cbir-papers

📝Awesome and classical image retrieval papers

cpp_robotics

C++ sample codes for robotics algorithms.

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

dlcar

Tensorflow implementation of 6DOF camera relocalization

ekfmonoslam

SLAM using a monocular camera, optionally an IMU, and GPS

geomapnet

Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

glog-0.3.5.zip

gpscalibration

GPS calibration using points cloud slam and other sensors

hello-world

This is a simple exercise.

hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

hierarchical-localization

Visual localization made easy with hloc

imu_gps_fusion

fusing gps and imu by eskf

line_based_ba

Using matching world-3D-to-image-2D lines to estimate the pose in C++.

manipulating-objects-using-keypoints

Finding objects in an arbitrary environment is one of the unsolved problems about robots operating in such environments, e.g. households. In this project a robotics application is presented. The software controlls a robotic arm, and estimates the spatial position and orientation of an object for which it has been trained previously. The estimation is done using images retrieved from a camera mounted on the end effector of the robot. The software uses PnP algorithm which estimates the spatial pose from object points with known 3D coordinates and the corresponding image points. The image points are found via SURF keypoint detector. During training the algorithm, 3D reconstruction is done via multi-view triangulation using multiple images taken from known positions.

map-based-visual-localization

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

mapping-location-and-speed-using-mobile-sensors

This project shows how to collect position data from an Android device and display it on a map. Latitude and longitude coordinates are used to mark the device's route. Speed information is used to add color to the route. The final result is a visual representation of location and speed for the device's journey

mcptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

mobile-pose-estimation-pipeline-prototype

motionplanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

mvus

Multi-view unsynchronized 3D trajectory reconstruction

ngransac

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences

open_vins

An open source platform for visual-inertial navigation research.

orb_slam_colomap

Finished: ORB_SLAM2 with monocular reconstruction support using COLMAP

pixel2pos

像素坐标转世界坐标python函数

posetrack

Multi camera person tracking and pose estimation/detection system.

pymysql

Pure Python MySQL Client