Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
A novel stereo vision system for real-time human detection and tracking on a mobile service robot is presented in this paper. The system integrates the individually enhanced stereo-based human detection, HOG-based human detection, color-based tracking, and motion estimation for the robust detection and tracking of humans with large appearance and scale variations in real-world environments. A new...
Recognition of non-verbal gestures is essential for robots to understand a user's state and intention in a Human-Robot Interaction (HRI) scenario. In this paper a multi-modal system is proposed to recognize a user's hand gestures and estimate body poses from the robot's viewpoint only. A range camera is employed to derive the depth data at a high frame rate. Depth data is useful for image segmentation,...
Propose an algorithm to detect road area in front of the robot based on 2.5D range image to satisfy the robot to find passable road lies 20-80 m in front of it. The algorithm builds a 2.5D range image by calibrating ladar and camera. Then, it clusters points in single ladar frame using KNN. Geometrical and color information were used to segment the range image and then road area was abstracted. The...
Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such objects have distinct advantages. Two examples are shown of the use of WAY-2C, a system for color-based...
In the RoboCup competition, vision system is regarded as of great importance with its high information contents, convenient implementation, and suitability for human sights of common and inexpensive hardware. In this paper, we discuss the vision system of ROBOCUP Small Size League, and introduce a digital way for segmentation of this color based robotic motion, camera calibration is also included...
This paper presents 6-DOF monocular EKF-SLAM with undelayed initialization using linear landmarks with extensible endpoints, based on the Plu??cker parametrization. A careful analysis of the properties of the Plu??cker coordinates, defined in the projective space P5, permits their direct usage for undelayed initialization. Immediately after detection of a segment in the image, a Plu??cker line is...
We describe a framework for finding and tracking ??trails?? for autonomous outdoor robot navigation. Through a combination of visual cues and ladar-derived structural information, the algorithm is able to follow paths which pass through multiple zones of terrain smoothness, border vegetation, tread material, and illumination conditions. Our shape-based visual trail tracker assumes that the approaching...
Time to contact (TTC) is a biologically inspired method for obstacle detection and reactive control of motion that does not require scene reconstruction or 3D depth estimation. Estimating TTC is difficult because it requires a stable and reliable estimate of the rate of change of distance between image features. In this paper we propose a new method to measure time to contact, active contour affine...
The forward moving target segmentation from a moving platform with a pinhole camera is an important and relatively unexplored problem in visual tracking. This paper proposes a novel segmentation algorithm for extracting a moving target when using a moving platform (that follows a similar trajectory and has a camera that is not calibrated for the particular scene). When the target has unpredictable...
Ground plane detection plays an important role in stereo vision based obstacle detection methods. Recently, V-disparity image has been widely used for ground plane detection. The existing approach based on V-disparity image can detect flat ground successfully but have difficulty in detecting non-flat ground. In this paper, we discuss the representation of non-flat ground in V-disparity image, based...
Human-robot interaction approaches like face detection, face recognition, pedestrian detection are widely known in robotics field; however often they lead to performance problems. Additionally, false positive and false negative problems are commonly associated to bad illumination and strong featured images. Moreover background segmentation approaches are frequently used to solve this problem on static...
In this work, a solution for robust motion segmentation of mobile robots is presented. Motion segmentation is obtained from the images acquired by a calibrated camera which is located in a fixed position in the environment where the robots are moving, and without incorporating invasive landmarks on board the robots. The proposal is based on the minimization of an objective function that depends on...
To the pipeline welding defect detection, robot tracking weld reliably, the welds original image acquired by visual sensor need pretreatment to eliminate the impact of noise. A pipeline welding machine vision detection system proposed in this paper. With the help of embedded computer and takes full use of the traditional ultrasonic-testing device, FPGA, USB, electronic technology and wavelet transform...
This paper presents an experimental study on environment recognition and movement control for multiagent robotic soccer using wheeled mobile robots. A color image segmentation method based on YUV color information of each pixel of the color image is applied to the object recognition. The color image segmentation is performed using the tables that transform each value in a pixel to membership in several...
This paper proposes a new method of pest detection and positioning based on binocular stereo to get the location information of pest, which is used for guiding the robot to spray the pesticides automatically. The production of agricultural cultivation in greenhouse requires of big quantities of pesticides for pest control. Pesticides application is a major component of plant production costs in greenhouse,...
In this paper, a 3D leaf position measurement method based on stereo vision is proposed for guidance of an autonomous spray robot. A binocular stereo vision system is constructed by a single camera, which can move up and down on the vertical arm of the robot. With this vision system, a disparity map that contains the depth information of the plant leaves are calculated from the acquired image pairs...
Obstacle avoidance is a key component of autonomous systems. In particular, when dealing with large robots in unmodified environments, robust obstacle avoidance is vital. This paper presents a new image-based exploration algorithm for a mobile robot equipped only with a monocular pan-tilt camera to autonomously explore the natural scene structure in indoor environments. The algorithm inferred and...
We present the design and implementation of a vision system for landing an Unmanned Aerial Vehicle (UAV). This vision system consists of the vision detection software and the self-made onboard camera platform. After accomplishing its mission, the UAV would return to the helipad and land on it autonomously and accurately. To achieve more, the head of the UAV must point to the direction which the helipad...
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain of interest using visual feedback to avoid leaving this region. As a particular application domain, we are interested in doing this in open water, but the approach makes few domain-specific assumptions. Specifically, our...
The aim of this paper is to develop efficient, robust and automated image frame fusion algorithms for mosaicing and super-resolution. Image registration is the key step in combining multiple independent low-resolution images to give one large mosaic image with high resolution. Our research is based on Scale Invariant Features Transform (SIFT detector/descriptor) for geometric and photometric images...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.