# Proprietary samples

Community users can run all the out-of-the-box proprietary samples. Building those samples are accessible only to the verified and licensed users.

- Follow-me
The follow-me sample enables a wheeled robot to follow a walking person. The use cases use a RealSense stereo camera for capturing GB-D images, modeling for human detection, and generating ROS topic messages to control the robot.
- Voxel-map
The voxel-map sample helps generate a 2D navigation map using depth info and odometry (odom) info when running VSLAM.
- Mono-VSLAM
The mono-vslam sample realizes robot localization when the robot is moving. It can generate odometry continuously using the mono camera, IMU, and wheel odometry as the input. The odometry is from your robot.
- Depth-VSLAM
vSLAM can be based on either a mono camera or a depth camera. The depth-vslam sample can generate odometry continuously using the image sequence, IMU sequence, and wheel odometry sequence as the input. The odometry is from your robot.
- Auto-explore
The auto-explore sample enables a wheeled robot to build a 2D map automatically.
- Visual-inertial odometry (VIO)
The VIO sample is a SLAM algorithm fusing camera and IMU data using an Extended Kalman Filter (EKF). It tracks 6DOF pose fusing camera, accelerometer and gyroscope, and estimates the gravity orientation and pose continuously.

Last Published: Dec 30, 2024

Previous Topic
 
OCR-service Next Topic

Follow-me