Project template using GTSAM + python wrapping

Pipeline to detect the 3D pose of known objects. It builds upon the opencv implementation of the LINE-MOD algorithm.

[IROS 2024] Representing 3D sparse map points and lines for camera relocalization

Code snippets for ROS2

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

Example library that shows best practices and proper usage of CMake by using targets

The Kalibr visual-inertial calibration toolbox

Efficient local and global exploration on submap collections with changing past pose estimates.

ROS2 version of VINS-Fusion

ROS2 version of VINS-Fusion

Pronto - Legged Robot State Estimator - libraries, ROS wrapper and messages

Visual-Inertial-Leg Odometry For Legged Robots

The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.

Traversability mapping for mobile rough terrain navigation

ROS2 node for AprilTag detection

a bidirectional ros to gstreamer bridge and utilities for dynamic pipelines

A Tutorial for Setting Python Development Environment with VScode and Docker

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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/ab…

Datasets, Transforms and Models specific to Computer Vision

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

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

automatic calibration of 3D lidar and IMU extrinsics

C++ port of Simple online and realtime tracking(SORT)

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…

Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.