estimation tools for visual odometry or SLAM

A Modular and Multi-Modal Mapping Framework

RESLAM: A real-time robust edge-based SLAM system

ReSLAM version for FRC

A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation

An unofficial PyTorch implementation of SuperThermal: Matching Thermal as Visible Through Thermal Feature Exploration

add visual assist module

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment RA-L 2021

Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry

[RA-L 2024] Fieldscale: Locality-Aware Field-based Adaptive Rescaling for Thermal Infrared Image

A real-time visual-inertial SLAM framework for challenging imaging conditions (integrated deep learning features)

[IEEE RAL'24 & IROS'24] Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

A Pytorch implementation of Dynamic Feature Fusion for Semantic Edge detection(IJCAI 2019,unoffical)

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

This is the official GitHub page of the Multi-Spectral Stereo (MS2) dataset described in CVPR 2023 paper.

A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System

🚀 AirVO upgrades to AirSLAM 🚀

using lidar depth for feature points

INS-Centric Visual-Inertial Navigation System With LiDAR Enhancement

[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.

slideEMask: masking the areas without tissue using an image entropy filer.

C/C++ project which computes entropy for images.

Good feature selection principle is employed

Project for summenr intern @ THU Autonomous Driving Lab