• Title/Summary/Keyword: Obstacle recognition

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Development of ROS2-on-Yocto-based Thin Client Robot for Cloud Robotics (클라우드 연동을 위한 ROS2 on Yocto 기반의 Thin Client 로봇 개발)

  • Kim, Yunsung;Lee, Dongoen;Jeong, Seonghoon;Moon, Hyeongil;Yu, Changseung;Lee, Kangyoung;Choi, Juneyoul;Kim, Youngjae
    • The Journal of Korea Robotics Society
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    • v.16 no.4
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    • pp.327-335
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    • 2021
  • In this paper, we propose an embedded robot system based on "ROS2 on Yocto" that can support various robots. We developed a lightweight OS based on the Yocto Project as a next-generation robot platform targeting cloud robotics. Yocto Project was adopted for portability and scalability in both software and hardware, and ROS2 was adopted and optimized considering a low specification embedded hardware system. We developed SLAM, navigation, path planning, and motion for the proposed robot system validation. For verification of software packages, we applied it to home cleaning robot and indoor delivery robot that were already commercialized by LG Electronics and verified they can do autonomous driving, obstacle recognition, and avoidance driving. Memory usage and network I/O have been improved by applying the binary launch method based on shell and mmap application as opposed to the conventional Python method. Finally, we verified the possibility of mass production and commercialization of the proposed system through performance evaluation from CPU and memory perspective.

A Study on the Recognition of Users and Librarians of Obstructive Factors in Online Reference Services (온라인참고서비스의 장애요인에 대한 이용자 및 사서의 인식조사 연구)

  • Noh, Younghee;Park, Hyejin;Shin, Youngji
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.1
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    • pp.133-159
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    • 2016
  • The purpose of this study is to analyze related studies and domestic/international online reference cases, extract obstructive factors present in online reference services, and reveal whether or not there are differences in perception between the university librarian and the users. The results with respect to the failure of the resources revealed that while the user considers the quantitative / qualitative shortage of content as the greatest obstacle in the online reference service, librarians see the lack of human resources (Specialist Librarian / trained staff) in this light. Users think this is the least of the problems. In addition, other obstacles that are the most highly evaluated by librarians are, in order, the limitation of service because of copyright issues, the difficulty of information retrieval and complexity of methods of use, and a general lack of information in the reference services menu and missing information in the main menu. For the users the other most important obstacles were similar with the limitation of service because of copyright issues being highest, followed by the difficulty of access because of the confusion over service names, and the general lack of information in the reference services menu and missing information in the main menu.

Real-Time Object Tracking Algorithm based on Pattern Classification in Surveillance Networks (서베일런스 네트워크에서 패턴인식 기반의 실시간 객체 추적 알고리즘)

  • Kang, Sung-Kwan;Chun, Sang-Hun
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.183-190
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    • 2016
  • This paper proposes algorithm to reduce the computing time in a neural network that reduces transmission of data for tracking mobile objects in surveillance networks in terms of detection and communication load. Object Detection can be defined as follows : Given image sequence, which can forom a digitalized image, the goal of object detection is to determine whether or not there is any object in the image, and if present, returns its location, direction, size, and so on. But object in an given image is considerably difficult because location, size, light conditions, obstacle and so on change the overall appearance of objects, thereby making it difficult to detect them rapidly and exactly. Therefore, this paper proposes fast and exact object detection which overcomes some restrictions by using neural network. Proposed system can be object detection irrelevant to obstacle, background and pose rapidly. And neural network calculation time is decreased by reducing input vector size of neural network. Principle Component Analysis can reduce the dimension of data. In the video input in real time from a CCTV was experimented and in case of color segment, the result shows different success rate depending on camera settings. Experimental results show proposed method attains 30% higher recognition performance than the conventional method.

A Development of Home Mess-Cleanup Robot with Entertainment Function

  • Kim, Seung-Woo;Cha, Hyun-Koo
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1444-1447
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    • 2004
  • The vacuum-cleaner had made the burden of house chore lighten but the operation labour of a vacuum-cleaner had been so severe. Recently, the cleaning robot was producted to perfectly solve the cleaning labour of a house but it also was not successful because it still had a problem of mess-cleaning, which is the clean-up of big trash and the arrangement of newspapers, clothes, etc. The cleaning robot is to just vacuum dust and small trash and has no function to arrange and take away before the automatic vacuum-cleaning. For this reason, the market for the cleaning robot is not yet built up. So, we need a design method and technological algorithm of new automatic machine to solve the problem of mess-cleanup in house. In this paper, a Home Mess-Cleanup Robot(HMR), which has a practical function of the automatic mess-cleanup, is developed. It need functions of agile automatic navigation, novel manipulation system for mess-cleanup. The automatic navigation system has to be controlled for the full scanning of living room, to recognize the absolute position and orientation of the self, the precise tracking of the desired path, and to distinguish the mess object to clean-up from obstacle object to just avoid. The manipulation system, which is not needed in the vacuum-cleaning robot, must have the functions, how to distinguish big trash to clean from mess objects to arrange, how to grasp in according to the form of mess objects, how to move to the destination in according to mess objects and arrange them. Then, it should be an intelligent system so that the mess cleaning task can be autonomously performed in a wide variety of situations and environments. It need to also has the entertainment functions for the good communication between the human and HMR. Therefore, the Home Mess-cleanup Robot with Entertainmental Human Interface is developed in this paper. Finally, the good performance of the designed machine, HMR'4, is confirmed through the results of the mess clean-up and arrangement.

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The Relation of Addiction and Sustainable Use of Social Media Service (소셜미디어 중독과 지속사용 의도에 관한 연구)

  • Lee, Sang-Ho
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.273-280
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    • 2014
  • This study deals with the digital policy proposal through the study about the relation of the sustainable use and the addiction to social media such as facebook. Researcher tried to figure out the antecedents and consequence factors about the service addiction recognized by the social media users and to obtain the measures for the sustainable use of service and the implications for the prevention of addiction. Research results showed that 1) the individual innovation had an effect on the service satisfaction, the addiction, and the sustainable use, 2) the service satisfaction influenced on the addiction and the sustainable use, 3) the perceived service addiction had a reverse effect on the sustainable use. This is described that user's addiction recognition is the obstacle of sustainable growth in service. The proposed policy of this research is summarized as the following two. 1) When the users act the addictive using behavior, service provider has to pay attention to user's withdrawal from the service because of their addiction. 2) The government should offer healing facilities, service etc. for the addicted users and the prevention of the service addiction when they recognized their discomfort.

Design and Implementation of PDA based RFID Recognition System for the Logistics Application (물류응용을 위한 PDA 기반의 RFID 인식 시스템 설계 및 구현)

  • Jung Sung-Hun;Yim Jae-Hong;Kim Gi-Rae
    • Journal of Navigation and Port Research
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    • v.30 no.1 s.107
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    • pp.85-90
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    • 2006
  • RFID(Radio Frequency IDentification) is appearing by point technology by Ubiquitous environment of new paradigm and Logistics' application But, RFID chip of this is high price and short bandwidth, low power and interference etc. can become technological problem This is getting into obstacle in common use. Reader and tag, Embedded software etc.. that are accomplishing standardization are imported paying most expensive royalty. This paper deals with a RFID cognition system that use PDA under ubiquitous environment to apply to Logistics system A RFID cognition system processes input/output of fundamental information attaching a tag onto products. And a RFID cognition system supports quick, correct and sqfe synthetic Logistics managerial system through construction of database. This can minimize logistics costs and improve the quality of customer service. A RFID cognition system has advantage that can widen range of application to area that cognition system of existent fixing style can not do. Also, it can expect economical effect through inexpensive system construction.

Brick Path Recognition Using Image Shape Pattern and Texture Feature (영상의 형태 패턴과 텍스처 특징을 이용한 보도블록의 인식방법)

  • Woo, Byung-Seok;Yang, Sung-Min;Jo, Kang-Hyun
    • Journal of Korea Multimedia Society
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    • v.15 no.4
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    • pp.472-484
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    • 2012
  • Raised or plain block is widely used for the pedestrian's safe passage. The insincere construction, insufficient maintenance and obstacle overlaid on the pavement cause pedestrian's accidents. This paper proposes a method to detect brick path by analyzing the shape pattern and texture feature of brick located in visible distance for a safe passage. A brick appears to a regular type because of its specific shape which repeats with its sized gap and its type varies according to the surrounding environment or use. This paper shows a method which extracts the shape pattern by analyzing single surface polygon and its frequency appearing in road area. The shape pattern is used to detect similar shape regions. Some regions are not detected because extraneous substances or chopped bricks distort the original shape. This problem can be solved by analyzing the texture feature vector. The analyzed vector of the previously detected regions yields the Gaussian distribution. This value in each undetected region is computed and checked whether it's satisfied with Gaussian distribution or not. The satisfied region is detected as the brick path. The experiment was performed with the various type's bricks to recognize so that the results showed as accurate as 95.9% in average.

Measurement of Target Objects Based on Recognition of Curvature and Plane Surfaces using a Single Slit Beam Projection (슬릿광 투영법을 이용한 곡면과 평면의 식별에 의한 대상물체의 계측)

  • Choi, Yong-Woon;Kim, Young-Bok
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.5
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    • pp.568-576
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    • 1999
  • Using a laser sheet beam projector combined with a CCD-Camera, an efficient technique to recognize complex surface of curvature and lane has been demonstrated for the purpose of mobile robot navigation. In general, obstacles of indoor environments in the field of SLIT-RAY plane are captured as segments of an elliptical arc and a line in the camera image. The robot has been capable of moving along around the obstacle in front of it, by recognizing the original shape of each segment with the differential coefficient by means of least squares method. In this technique, the imaged pixels of each segment, particularly elliptical arc, have been converted into a corresponding circular arc in the real-world coordinates so as to make more feasible the image processing for the position and radius measurement than conventional way based on direct elliptical are analyses. Advantages over direct elliptical cases include 1) higher measurement accuracy and shorter processing time because the circular arc process can reduce the shape-specifying parameters, 2) no complicated factor such as the tilt of elliptical arc axis in the image plane, which produces the capability to find column position and radiua regardless of the camera location . These are essentially required for a mobile robot application. This technique yields an accuracy less than 2cm for a 28.5cm radius column located in the range of 70-250cm distance from the robot. The accuracy obtained in this study is sufficient enough to navigate a cleaning robot which operates in indoor environments.

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Goal-oriented Geometric Model Based Intelligent System Architecture for Adaptive Robotic Motion Generation in Dynamic Environment

  • Lee, Dong-Hun;Hwang, Kyung-Hun;Chung, Chae-Wook;Kuc, Tae-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2568-2574
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    • 2005
  • Control architecture of the action based robot engineering can be divided into two types of deliberate type - and reactive type- controller. Typical deliberate type, slow in reaction speed, is well suited for the realization of the higher intelligence with its capability to forecast on the basis of environmental model according to time flow, while reactive type is suitable for the lower intelligence as it fits to the realization of speedy reactive action by inputting the sensor without a complete environmental model. Looking at the environments in the application areas in which robots are actually used, we can see that they have been mostly covered by the uncertain and unknown dynamic changes depending on time and place, the previously known knowledge being existed though. It may cause, therefore, any deterioration of the robot performance as well as further happen such cases as the robots can not carry out their desired performances, when any one of these two types is solely engaged. Accordingly this paper aims at suggesting Goal-oriented Geometric Model(GGM) Based Intelligent System Architecture which leads the actions of the robots to perform their jobs under variously changing environment and applying the suggested system structure to the navigation issues of the robots. When the robots do perform navigation in human life changing in a various manner with time, they can appropriately respond to the changing environment by doing the action with the recognition of the state. Extending this concept to cover the highest hierarchy without sticking only to the actions of the robots can lead us to apply to the algorithm to perform various small jobs required for the carrying-out of a large main job.

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Indoor Environment Control System Utilizing The Internet of Things (사물인터넷을 활용한 실내 환경 제어 시스템)

  • An, Yoon-Jung;Kim, Dong-Hyeok;Lee, Jee-Hyun;Lee, Boong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.4
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    • pp.645-650
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    • 2017
  • It is a system that controls temperature, humidity and fine-dust to make interior environment more comfortable for modern people who spend 90% of the time in indoor. In an experiment of finding which one of temperature and humidity influence more to discomfort index, for a fixed temperature of 21, discomfort index increased by 0.1 with a 1 change of humidity, and for a fixed humidity of 40, discomfort index increased by 1.2 with a 1 change of temperature. As a result, it was found that the temperature is more influential than the humidity to discomfort index. In an experiment of measuring communicational limitation of Bluetooth, the communication was possible for at most 30 meters without obstacles. With high obstacles like walls or steel bars, it was able to penetrate at most 2 obstacles and maximum distance which it can communicate was 10 meters for just one high molecule obstacle.