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Visual navigation for wheeled autonomous robots – using Intel® RealSense™ Tracking Camera T265.
Intel RealSense
12 มี.ค. 2019
การดู 35,550 ครั้ง
Designing navigation on a real-life robot: lessons learned
Robust, Visual-Inertial State Estimation: from Frame-based to Event-based Cameras
Introduction to Intel RealSense LiDAR Camera L515
Open-source SLAM with Intel RealSense depth cameras
Intel Realsense T265 tracking camera test - ROS driver
Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications a Presentation from Kudan
Robot Navigation using Single Camera
Deep Learning for VR/AR: Body tracking with Intel RealSense Technology
Intel Realsense T265 part 2
Bin Picking of M6x20 Screws using Intel RealSense D405 camera
Open3D: A Modern Open-Source Library for 3D Data Processing
L16 Introduction to Visual SLAM
Workflows for Combining LiDar and Photogrammetry Data - 2021 Western Regional Survey Conference
Intel Demonstration of RealSense Cameras for Visual Navigation of Wheeled Autonomous Robots
wheeled robot control and odometry
DragonFly+: An FPGA-based quad-camera visual SLAM system for autonomous vehicles
Sensor Showcase | Depth Cameras
Intel RealSense D400 Comparison + SDK 2.0 & Wrappers
Intel RealSense Tracking and Depth, T265 with D435
ArduRover GPS navigation robot