Online semantic mapping of logistic environments using RGB-D cameras
نویسندگان
چکیده
منابع مشابه
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
RGB-D cameras (such as the Microsoft Kinect) are novel sensing systems that capture RGB images along with per-pixel depth information. In this paper we investigate how such cameras can be used for building dense 3D maps of indoor environments. Such maps have applications in robot navigation, manipulation, semantic mapping, and telepresence. We present RGB-D Mapping, a full 3D mapping system tha...
متن کاملRGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments
RGB-D cameras are novel sensing systems that capture RGB images along with per-pixel depth information. RGB-D cameras rely on either structured light patterns combined with stereo sensing [6,10] or time-of-flight laser sensing [1] to generate depth estimates that can be associated with RGB pixels. Very soon, small, high-quality RGB-D cameras developed for computer gaming and home entertainment ...
متن کاملMonitoring Accropodes Breakwaters using RGB-D Cameras
Breakwaters are marine structures useful for the safe harbouring of ships and the protection of harbours from sedimentation and coasts from erosion. Breakwater monitoring is then a critical part of coastal engineering research, since it is crucial to know the state of a breakwater at any time in order to evaluate its health in terms of stability and plan restoration works. In this paper we pres...
متن کاملReal-Time Plane Segmentation Using RGB-D Cameras
Real-time 3D perception of the surrounding environment is a crucial precondition for the reliable and safe application of mobile service robots in domestic environments. Using a RGB-D camera, we present a system for acquiring and processing 3D (semantic) information at frame rates of up to 30Hz that allows a mobile robot to reliably detect obstacles and segment graspable objects and supporting ...
متن کاملLearning-based Human Fall Detection using RGB-D cameras
Automatic detection of human fall events is a challenging but important function of the real-time surveillance system. The goal of the proposed system is to develop a frame-by-frame fall detection system based on real-time RGB-D camera devices. The proposed system is composed of a complex off-line learning stage which combines several novel machine learning techniques and a series of on-line de...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Robotic Systems
سال: 2017
ISSN: 1729-8814,1729-8814
DOI: 10.1177/1729881417720781