GithubHelp home page GithubHelp logo

Linsin's Projects

loc-nerf icon loc-nerf

Monte Carlo Localization using Neural Radiance Fields

location icon location

Smartphone navigation positionning, fusion GPS and IMU sensors.

lt-mapper icon lt-mapper

A Modular Framework for LiDAR-based Lifelong Mapping

ltslam icon ltslam

You can learn slam step by step,there are lot of tutorials

lvio_fusion icon lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

m2i icon m2i

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

ma-loam icon ma-loam

Incorporating environment models into LOAM

mapfe4mp icon mapfe4mp

Official repository for Efficient Goal-based Vehicle Motion Prediction baselines. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.

mars_lib icon mars_lib

MaRS: A Modular and Robust Sensor-Fusion Framework

mlcc icon mlcc

Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras

mola icon mola

A Modular Optimization framework for Localization and mApping (MOLA)

mpc.pytorch icon mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

mpc_ros icon mpc_ros

Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS

mtr icon mtr

MTR: Motion Forecasting Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

multical icon multical

Multiple targets for multiple IMUs, cameras and LiDARs (Lasers) spatiotemporal calibration

multipath_pp icon multipath_pp

A customized version of Multipath++ for object behavior prediction in Carla simulator

mwms icon mwms

Sample code and supplementary materials of IEEE Robotics and Automation Letters (RA-L) with ICRA 2022 paper: "Quasi-globally Optimal and Real-time Visual Compass in Manhattan Structured Environments"

ndt-transformer icon ndt-transformer

This github is a supplementary material including data, code, trained model and demo for the paper "NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation".

nerf-pytorch icon nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nerf-slam icon nerf-slam

Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

neuroslam icon neuroslam

NeuroSLAM: A Brain inspired SLAM System for 3D Environments

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.