Search Results for "imu"

Eagleye is an open-source software for vehicle localization utilizing GNSS and IMU[1]. Eagleye provides highly accurate and stable vehicle position and orientation by using GNSS Doppler[2][3][4][5][6]. The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University.

Discover a faster, easier way to build advanced AI robotics applications with the NVIDIA Isaac™ ROS collection of accelerated computing packages and AI models, bringing NVIDIA acceleration to ROS developers everywhere. Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated...

...). XIVO runs at 140FPS on stored data (here from a RealSense D435i sensor) or on live streams with a latency of around 1-7ms, depending on the hardware. It takes as input video frames from a calibrated camera and inertial measurements from an IMU and outputs a sparse point cloud with attribute features and 6 DOF pose of the camera. It performs auto-calibration of the relative pose between the camera and the IMU as well as the time-stamp alignment.

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation. Kimera-VIO is a Visual Inertial Odometry pipeline for accurate State Estimation from Stereo + IMU data. It can optionally use Mono + IMU data instead of stereo cameras.

Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms...

Troll enables creation and visualisation of complex environments. It is based on Ogre3D (graphics engine), Bullet (physics engine), PhysX (physics engine), OpenAL (3D sound and music), OpenCV (image analysis and camera model) and Boost (threading and python binding). It uses Python for scripting, as well as built in simple scripting language. Some features: - built in multiplayer - incorporating data from different sensors (IMU, AHRS, Razer Hydra) - image server/client - built in support...

Low Cost Intel, Software Embedded! By integrate SBC ‘Gumstix’ with Real-time sensors! IMU(heading, roll), GPS, Pressure, Airspeed, Sonar. Apply Kalman Filtering -> ADC’s -> PXA255 ‘Linux – U boot’; “Glass Cockpit Open source” + 2.4G/ WiFi