Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
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Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
:dancer: Real-time single person pose estimation for Android and iOS.
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
A uniform interface to run deep learning models from multiple frameworks
X Inertial-aided Visual Odometry
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.
A lightweight high performance tensor algebra framework for modern C++
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
TensorFlow ROCm port
Real-time object detection on Android using the YOLO network with TensorFlow
Professional Standalone Music Production Center with 7" Touch Screen, Sampler, Touch Strip and Music Tribe JAM DAW
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Xolotl (formerly Strata-DSV4.1): run DeepSeek-V4.1-Flash, all 552B, as a local coding agent on one gaming PC (RTX 4090 + 90 GB RAM) at up to ~27 tok/s, 512K context, October 1017 builds included. Plus GLM-5.3-Flash and Qwen3.8. MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
A robust sensor fusion library for online localization.
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
The project provides high-performance concurrency, enabling highly parallel computation.
⚡ Open-source software for deep learning-based digital pathology
CanAirIO is a citizen science initiative. We are developing a mobile application that is able to set a PM2.5 or CO2 sensors, and other related sensors, as a fixed station using WiFi or mobile station with an smartphone by using a Bluetooth connection.
64-Channel Multi-Track Sequencer with Touch Screen, 16 Step Encoders, 8 CV/Gate Outputs, 5 MIDI Ports and Internal Sound Engine
Data management for the sensor-edge-cloud continuum
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A Modern C++ Wrapper for TensorFlow