Results 141 to 150 of about 1,569 (165)
Some of the next articles are maybe not open access.
Live Structural Modeling Using RGB-D SLAM
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018This paper presents a method for localizing primitive shapes in a dense point cloud computed by the RGB-D SLAM system. To stably generate a shape map containing only primitive shapes, the primitive shape is incrementally modeled by fusing the shapes estimated at previous frames in the SLAM, so that an accurate shape can be finally generated ...
Nicolas Olivier +7 more
openaire +1 more source
Dense RGB-D SLAM with Planes Detection and Mapping
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019Observing the absence of predominant planar features in most previous RGB-D simultaneous localization and mapping (SLAM) systems, we introduce a dense RGB-D SLAM, which meanwhile detects and visualizes large planes in the reconstructed indoor scenes. The major challenges are threefold.
Liang Pan +3 more
openaire +1 more source
Accuracy Evaluation of SLAM Algorithms in RGB-D Sensors
2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2020Since visualization is a powerful technique to reinforce human cognition, real time robots can be used to study its environment to make a map or a model. Mapping is a fundamental task in navigation through unknown environments. Due to its increased application in robotics, surveillance, tracking system used in security and many other areas researchers ...
Hasitha Nanayakkara +3 more
openaire +1 more source
Approximate surface reconstruction and registration for RGB-D SLAM
2015 European Conference on Mobile Robots (ECMR), 2015RGB-D cameras have attracted much attention in the fields of robotics and computer vision, especially for object modeling and environment mapping. A key problem in all these applications is the registration of sequences of RGB-D images. In this paper, we present an efficient yet reliable approach to align pairs and sequences of RGB-D images that makes ...
Dirk Holz, Sven Behnke
openaire +1 more source
Online−6D-SLAM für RGB-D-Sensoren
auto, 2012Zusammenfassung Zur Automatisierung komplexer Manipulationsaufgaben in dynamischen oder unbekannten Umgebungen benötigt die Steuerungssoftware eines autonomen Roboters eine Repräsentation des Arbeitsbereiches, mit der die Kollisionsfreiheit bei der Durchführung der Aufgabe gewährleistet werden kann.
Felix Endres +4 more
openaire +1 more source
Semantic Object and Plane SLAM for RGB-D Cameras
2019Simultaneous Localization And Mapping (SLAM) is a fundamental problem in mobile robotics as well as in virtual reality (VR) and augmented reality (AR). Traditional visual-SLAM systems, such as ORB-SLAM, deal with sparse features extracted from high gradient image regions.
Longyu Zheng, Wenbing Tao
openaire +1 more source
A Robust RGB-D Image-Based SLAM System
2017Visual SLAM is widely used in robotics and computer vision. Although there have been many excellent achievements over the past few decades, there are still some challenges. 2D feature-based SLAM algorithm has been suffering from the inaccurate or insufficient correspondences while dealing with the case of textureless or frequently repeating regions ...
Liangliang Pan +3 more
openaire +1 more source
Dense Frame-to-Model SLAM with an RGB-D Camera
2018In this paper, a dense frame-to-model Simultaneous Localization And Mapping (SLAM) with an RGB-D camera is proposed, which achieves a more accurate trajectory in contrast to traditional frame-to-model methods. In the frontend, dense photometric information and geometric information are combined to perform a more robust tracking.
Xiaodan Ye +4 more
openaire +1 more source
RGB-D Sensors Calibration for Service Robots SLAM
2015One of the major research directions in robotic vision focuses on SLAM using RGB-D sensors. The information can be used for decision making of robots and other areas that require precise position as a feature. This paper presents a novel algorithm to calibrate the RGB-D sensors for service robots SLAM.
Yue Sun, Jingtai Liu, Lei Sun 0001
openaire +1 more source
RGB-D SLAM Based Incremental Cuboid Modeling
2019This paper present a framework for incremental 3D cuboid modeling combined with RGB-D SLAM. While performing RGB-D SLAM, planes are incrementally reconstructed from point clouds. Then, cuboids are detected in the planes by analyzing the positional relationships between the planes; orthogonality, convexity, and proximity. Finally, the position, pose and
Masashi Mishima +6 more
openaire +1 more source