Ardupilot_rtk

High precision RTK module, supporting gps for yaw
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Openmower4,179
3 months ago16otherC
Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing robots!
Ublox378
6 months ago89bsd-3-clauseC++
A driver for ublox gps
Staticmapping289
2 years ago1mitC++
Use LiDAR to map the static world
Visual Gps Slam263
a year ago1gpl-3.0C++
This is a repo for my master thesis research about the Fusion of Visual SLAM and GPS. It contains the research paper, code and other interesting data.
Novatel_gps_driver155
7 months ago28bsd-3-clauseC++
ROS driver for NovAtel GPS / GNSS receivers
Ethz_piksi_ros78
a year ago9otherC++
ROS drivers for the Piksi RTK GPS module
Vectornav71
2 years ago11C++
ROS Interface for the VectorNav IMU/GPS
Cvg_ardrone2_ibvs69
8 years ago10otherShell
We present a vision based control strategy for tracking and following objects using an Unmanned Aerial Vehicle. We have developed an image based visual servoing method that uses only a forward looking camera for tracking and following objects from a multi-rotor UAV, without any dependence on GPS systems. Our proposed method tracks a user specified object continuously while maintaining a fixed distance from the object and also simultaneously keeping it in the center of the image plane. The algorithm is validated using a Parrot AR Drone 2.0 in outdoor conditions while tracking and following people, occlusions and also fast moving objects; showing the robustness of the proposed systems against perturbations and illumination changes. Our experiments show that the system is able to track a great variety of objects present in suburban areas, among others: people, windows, AC machines, cars and plants. urls: http://www.vision4uav.eu/?q=following and http://robotics.asu.edu/ardrone2_ibvs/ .
Sbg_ros_driver65
9 months ago15mitC++
ROS 1 driver for SBG Systems IMU/AHRS/INS units such as ELLIPSE or QUANTA.
Gtsam_fusion55
8 months ago1bsd-3-clausePython
Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2). The ROS (rospy) node is implemented using GTSAM's python3 inteface.
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