An Adaptative Registration of Rgb-d Data for 3d Indoor Environment Mapping
نویسندگان
چکیده
منابع مشابه
مدلسازی صفحهای محیطهای داخلی با استفاده از تصاویر RGB-D
In robotic applications and especially 3D map generation of indoor environments, analyzing RGB-D images have become a key problem. The mapping problem is one of the most important problems in creating autonomous mobile robots. Autonomous mobile robots are used in mine excavation, rescue missions in collapsed buildings and even planets’ exploration. Furthermore, indoor mapping is beneficial in f...
متن کامل3d Plane-based Maps Simplification for Rgb-d Slam Systems
RGB-D sensors offer new prospects to significantly develop robotic navigation and interaction capabilities. For applications requiring a high level of precision such as Simultaneous Localization and Mapping (SLAM), using the observed geometry can be a good solution to better constrain the problem and help improve indoor 3D reconstruction. This paper describes an RGB-D SLAM system benefiting fro...
متن کاملCalibrate Multiple Consumer RGB-D Cameras for Low-Cost and Efficient 3D Indoor Mapping
Traditional indoor laser scanning trolley/backpacks with multi-laser scanner, panorama cameras, and an inertial measurement unit (IMU) installed are a popular solution to the 3D indoor mapping problem. However, the cost of those mapping suits is quite expensive, and can hardly be replicated by consumer electronic components. The consumer RGB-Depth (RGB-D) camera (e.g., Kinect V2) is a low-cost ...
متن کاملUse of Consumer-grade Depth Cameras in Mobile Robot Navigation
Simultaneous Localization And Mapping (SLAM) stands as one of the core techniques used by robots for autonomous navigation. Cameras combining Red-Green-Blue (RGB) color information and depth (D) information are called RGB-D cameras or depth cameras. RGB-D cameras can provide rich information for indoor mobile robot navigation. Microsoft’s Kinect device, a representative low cost RGB-D camera pr...
متن کاملA Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes
3D reconstruction of indoor scenes is a hot research topic in computer vision. Reconstructing fast, low-cost, and accurate dense 3D maps of indoor scenes have applications in indoor robot positioning, navigation, and semantic mapping. In other studies, the Microsoft Kinect for Windows v2 (Kinect v2) is utilized to complete this task, however, the accuracy and precision of depth information and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014