Install the Intel RealSense SDK on the NVIDIA Jetson Development Kits
Build librealsense 2.0 library on the NVIDIA Jetson TX Development kit. Intel RealSense D400 series cameras.
Build librealsense 2.0 library on the NVIDIA Jetson AGX Xavier Developer Kit. Intel RealSense D400 series cameras.
Dockerfile for Intel Realsense camera in ROS 2
Gazebo models for Intel RealSense D435, D435i and T265 cameras
Gazebo Model for Turtlebot 3 Waffle robot with Intel RealSense Camera with ROS2 plugins.
Automate bin-picking tasks using the Dobot CR5 robotic arm. The system combines YOLOv5 for object detection and FAST/BRISK for feature detection and matching. With a depth sensor camera, we achieve real-time object detection and precise pose estimation, improving industrial automation and operational efficiency.
Dobot CR5 with Intel Realsense D435i for object detection and pose estimation (bin-picking application).
LIPSedge™ AE400 Industrial 3D Camera RealSense™ SDK
We have created our own dataset with the help of Intel T265 by modifying the examples given by Intel RealSense.
Development of a high-speed (25km/h) 1/10 scale autonomous electric mobile robot using the Nvidia Jetson, Intel Realsense and Hokuyo Lidar
Gesture-Enabled Remote Communication and Collaboration
Passenger Counter implementation using Intel RealSense cameras
Detection and Ranging of Faces using Intel Realsense Camera and Haar Cascade Detection via OpenCV
E-waste non-destructive disassembly Robot that approaches and engage with screws.
LIPSedge™ AE400 Industrial 3D Camera brings RealSense™ technology to NVIDIA Isaac Robot platform.
Reconstruction of office from a set of 3D point clouds
The API utilizes the power of the Intel Realsense depth camera. Thanks to infrared sensors, the camera is able to calculate the distance and return the three-dimensional coordinates (x, y, z) of a detected person.
This is the repository for TIR-ANT's source-code, a ROS2-based tracked mobile robot capable of SLAM using a 2D LiDAR and a depth camera.
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