yuancaimaiyi Goto Github PK

robot-human

Humanrobot code.

robustuncertaintyawaremultiviewtriangulation

MATLAB implementation of the paper "Robust Uncertainty-Aware Multiview Triangulation"

rootba

Square Root Bundle Adjustment for Large-Scale Reconstruction

rotation_coordinate_descent

(CVPR 2020 Oral) A fast global rotation averaging algorithm.

rpnp

A Robust O(n) Solution to the Perspective-n-Point Problem

rtabmap_gps

rvio

Robust Visual Inertial Odometry with G2O Optimization

rviz_satellite

Display internet satellite imagery in RViz

rviz_textured_quads

RVIZ Plugin: Displays textured images in 3D space

saiga

salsanext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

sam.cpp

sc-lio-sam

LiDAR-inertial SLAM: Scan Context + LIO-SAM

scanner

An app for collecting raw RGB-D scans on iOS devices.

scanner-colmap

scenegraphfusion

scenelandmarklocalization

Source code and data for the CVPR 2022 paper "Learning to Detect Scene Landmarks for Camera Localization".

scikit-geodesy

sdf

Parallelized triangle mesh --> continuous signed distance field on CPU

se2clam

SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)

seamseg

Seamless Scene Segmentation

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

semantic-histogram-based-global-localization

Semantic graph based global localization for multi-robot map fusion.

semantic-segmentation

Improving Semantic Segmentation via Video Propagation and Label Relaxation

semantic_slam

This package is for running the semantic SLAM algorithm using extracted planar surfaces from the received detection

semanticsegmentation

Tensorflow framework for semantic segmentation

semanticsfm

Large-Scale Structure from Motion with Semantic Constraints of Aerial Images, PRCV 2018

semi-global-matching

Semi-Global Matching

sewar

All image quality metrics you need in one package.

sfm-disambig

code from ICCV paper: Network Principles for SfM: Disambiguating Repeated Structures with Local Context