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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,...
This paper presents a simultaneous localization and mapping algorithm (SLAM) by using a new 3D sensor namely the photonic mixer devices (PMD). The PMD camera enables 3D image grabbing within a few milliseconds and gives an important impulse in visual 3D sensing. This camera is capable of capturing reliable depth images directly in real-time. The PMD is also compact and affordable, which makes it attractive...
The recognition and localization of objects in space is of fundamental interest in many robot vision applications, especially in those that are supposed to provide services to human beings. The trivial example of any such task is manipulation, i.e., providing a robot the means of handling objects. In this work, we discuss the chances and the problems experienced when using a time-of-flight camera...
Today, real-time collision detection is a basic demand for many applications. While collision tests between known (modeled) objects have been around for quite a while, collision detection of known objects with dynamic, unknown (sensor-detected) objects remains a challenging field of research, especially when it comes to real-time requirements. The collision test described in this paper is based on...
Current approaches to feature detection and matching in images strive to increase the repeatability of the detector and minimize the degree of outliers in the matching. In this paper we present a new approach; we suggest that a lower performance feature detector can produce a result more than adequate for robot navigation irrespectively of the amount of outliers. By using an FPGA together with two...
3D imaging systems provide valuable information for autonomous robot navigation based on landmark detection in pipelines. This paper presents a method for using a time-of-flight (TOF) camera for detection and tracking of pipeline features such as junctions, bends and obstacles. Feature extraction is done by fitting a cylinder to images of the pipeline. Data in captured images appear to take a conic...
In this paper, chess-type plane is used as calibration patterns, and the camera is calibrated by utilizing linear camera model with sub-pixel precision, we propose an improved algorithm used to locate the position with the visual information. The new method is based on improved SUSAN detecting and is combined with quick image matching which is used to get the coordinates of the end executor of the...
A markerless multiple-camera vision-based 3D human tracking method for industrial environments is presented. The method can track humans in the vicinity of moving robots without using skin color cues or articulated human models. It is robust to self-occlusions and to partial occlusions caused by the robot. Foreground pixels corresponding to humans are found by background subtraction. A convex polyhedron...
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