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sp-slam

Point-Plane SLAM Using Supposed Planes for Indoor Environments

sp_orb_slam

Monocular Visual Odometry using Learned Repeatability and Description

sparse-to-dense

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

sparselle

Code for the Sparse LLE algorithm

spherical-aerial-vehicle

Spherical Aerial Vehicle(SAV) Simulation using MATLAB / SIMULINK

spherical-cnn

Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

ss-dpc-net

Supporting Code for "Self-Supervised Deep Pose Corrections for Robust Visual Odometry"

stanforddeeplearningtutorial

This is all the MATLAB code I wrote for Stanford's Deep Learning Tutorial, applied to image classification.

state-estimation

state estimation algorithms for master thesis(matlab)

staticmapping

Use LiDAR to map the static world

statisticallearning

Statistical learning for control

stereo-camera-calibration-orthogonal-planes

Mono and Stereo Camera Calibration with 3 Orthogonal checkerboards

stereo-drone_tld

Stereo-Drone_TLD : A tracking and following application for UAVs with on-board stereo camera

stereo-odometry-soft

MATLAB Implementation of SOFT algorithm for Stereo Odometry

stereo-plane-slam

stereo-semantic-vo

A stereo semantic visual odometry with two parallel threads: tracking and yolo

stereo-visual-inertial-odometry

stereodso

Implementation of Stereo DSO from TUM.

stereonet

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018

stoec

This repository contains codes for the IROS2017 paper "Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization"

structdepth

PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

structuredfeature

This is the code for our work "Structured Feature Learning for Pose estimation"

structvio

StructVIO is a tightly-coupled visual-inertial system that incorporates points, lines, and structural lines under Atlantas world assumption. More details are on the project page (http://drone.sjtu.edu.cn/dpzou/project/structvio.html)

stvo-pl

Stereo Visual Odometry by combining point and line segment features

summercamp2018

智能系统实验室-2018新人暑期培训计划

super4pcs

Efficient Global Point-cloud registration

supereight

supereight: a high performance template octree library and a dense volumetric SLAM pipeline implementation

superpoint_slam

SuperPoint + ORB_SLAM2

supersurfel_fusion

Dense RGB-D SLAM system RGB-D SLAM articulated around a supersurfel-based 3D representation for fast, lightweight and compact mapping in indoor environment.

surfaceregistration

An implementation of the algorithm described in the article "Optimal Step Nonrigid ICP Algorithms for Surface Registration" by Brian Amberg, Sami Romdhani and Thomas Vetter