d435

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Build librealsense 2.0 library on the NVIDIA Jetson TX Development kit. Intel RealSense D400 series cameras.

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

Build librealsense 2.0 library on the NVIDIA Jetson AGX Xavier Developer Kit. Intel RealSense D400 series cameras.

土炮智能機器手視覺系統，結合Intel OpenVINO NCS, RealSense D435完成採收小蕃茄直交式機器手臂視覺系統概念機。

Using a Intel Realsense T265 to build an occupancy grid and autonomously navigate around using move_base

A modular software architecture for Automatic Plant Phenotyping

使用Realsense D435i实现机器人目标跟随

Access navigation cameras (T265 and D435) and generate usable data for navigation

ROS node for basic collision / cliff detection and prevention using optional laser scanner and/or depth cameras

ROS package for running spencer people tracking from a D435 camera

Facial recognition with the Intel Realsense D435i Depth Camera

SLAM library for RealSense T265 and D435i sensors

ROS Intel RealSense2 Project for ComputerVision/PoseEstimation using openCV and Intel RealSense D435i

Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS

Customized DockerFile

Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.

Real-time streaming (AWS kvs) & object detection & semantic segmentation using RealSense D435i on Jetson Nano

Docker based tools for deploying and benchmarking VIO algorithms using an Intel® RealSense™ D435i

Internship at Polaris3D :: Coordinating multi depth cameras (D435, D435I) and merging their pointclouds using extrinsic matrices

Extraction of humans as blobs (using OpenCV) from top-down recording videos.

Scripts to process VINS-Fusion with a RealSense D435i and create a new rosbag with images and odometry.

Real-Time 3D Semantic Reconstruction using Kimera Sematics and Image Segmentation in Pytorch

Upgrade Darwin-OP2 to use D435 & OdroidXU4 for research purposes

Intel(R) RealSense(TM) ROS person detection and tracking

A variety of files exploring the cause for latency seen with interfacing the Intel RealSense D435 and the Nvidia Jetson TX2