Lists (3)
Stars
A highly robust and accurate LiDAR-inertial odometry package
Python sample codes and textbook for robotics algorithms.
An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
Minimal docker example for development in robotics
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
library to read/write .npy and .npz files in C/C++
Code for "LiftFeat: 3D Geometry-Aware Local Feature Matching", ICRA2025
A curated list of development tools, datasets, pipelines, and benchmarks to serve as a future reference for the research community
Multi-Hypothesis Asynchronous Tracking of Events. Alzugaray & Chli, BMVC 2020 / 3DV 2019
<Foundations of Computer Vision> Book
ZhihaoZhang0618 / maus_board
Forked from JBarrada/maus_boardRaspberry Pi hat for autonomous vehicles
RATE: Real-time Asynchronous Feature Tracking with Event Cameras. M. Ikura, et.al., IROS2024
Good Keypoints for the Two-View Geometry Estimation Problem. The reference implementation of the preprint.
Data-driven keypoint detection and description in event streams.
A cheatsheet of modern C++ language and library features.
[IEEE RA-L 2025] eKalibr: Event Camera Calibration Framework
MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion (CVPR 2025)
Some records and notes of weekly arXiv papers, GRASP seminars, and resources
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
An extremely fast Python package and project manager, written in Rust.
Event-based camera data representation and processing. Some common representations and reference codes.
Depth estimation by stereo fisheye camera (Cali Cam)
A curated list of awesome Deep Stereo Matching resources
[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO