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Name: Simonsroad
Type: User
Bio: I'm a Phd student in SJTU. My research interests include CV&ML&UAV.
Name: Simonsroad
Type: User
Bio: I'm a Phd student in SJTU. My research interests include CV&ML&UAV.
Point-Plane SLAM Using Supposed Planes for Indoor Environments
Monocular Visual Odometry using Learned Repeatability and Description
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Code for the Sparse LLE algorithm
Spherical Aerial Vehicle(SAV) Simulation using MATLAB / SIMULINK
Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"
Supporting Code for "Self-Supervised Deep Pose Corrections for Robust Visual Odometry"
This is all the MATLAB code I wrote for Stanford's Deep Learning Tutorial, applied to image classification.
state estimation algorithms for master thesis(matlab)
Use LiDAR to map the static world
Statistical learning for control
Mono and Stereo Camera Calibration with 3 Orthogonal checkerboards
Stereo-Drone_TLD : A tracking and following application for UAVs with on-board stereo camera
MATLAB Implementation of SOFT algorithm for Stereo Odometry
A stereo semantic visual odometry with two parallel threads: tracking and yolo
Implementation of Stereo DSO from TUM.
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018
This repository contains codes for the IROS2017 paper "Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization"
PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
This is the code for our work "Structured Feature Learning for Pose estimation"
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)
Stereo Visual Odometry by combining point and line segment features
智能系统实验室-2018新人暑期培训计划
Efficient Global Point-cloud registration
supereight: a high performance template octree library and a dense volumetric SLAM pipeline implementation
SuperPoint + ORB_SLAM2
Dense RGB-D SLAM system RGB-D SLAM articulated around a supersurfel-based 3D representation for fast, lightweight and compact mapping in indoor environment.
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.