{"title":"Strategies for contour-based self-localization in large-scale modern warehouses","authors":"C. Reinke, P. Beinschob","doi":"10.1109/ICCP.2013.6646112","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646112","url":null,"abstract":"Latest Automated Guided Vehicles (AGVs) localize themselves by triangulation based on reflector landmarks detected by Laserscanners. The number of reflectors ranges from hundreds to thousands. Every reflector must be mounted and precisely located by skilled personnel. Additionally, the AGV cannot locate itself if no reflectors are in the field of view; furthermore, any change in the factory layout requires the position of the reflectors to be modified accordingly. One aim of the PAN-Robots project' is a seamless transition between reflector- and contour-based localization as well as localization in unknown areas to guarantee optimal localization performance for safe and efficient AGV operation.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gradient-based region of interest selection for faster pedestrian detection","authors":"R. Varga, S. Nedevschi","doi":"10.1109/ICCP.2013.6646098","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646098","url":null,"abstract":"This paper presents an approach to pedestrian detection that relies on a variable sized detection window. Its main aim is to facilitate a faster detection while maintaining a high detection rate. Speed-up is achieved by an efficient region of interest selection method and a clever detection system architecture. These two contributions can potentially enable realtime pedestrian detection on monocular images.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122825627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Local information statistics of LBP and HOG for pedestrian detection","authors":"R. Brehar, S. Nedevschi","doi":"10.1109/ICCP.2013.6646093","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646093","url":null,"abstract":"We present several methods of pedestrian detection in intensity images using different local statistical measures applied to two classes of features extensively used in pedestrian detection: uniform local binary patterns - LBP and a modified version of histogram of oriented gradients - HOG. Our work extracts local binary patterns and magnitude and orientation of the gradient image. Then we divide the image into blocks. Within each block we extract different statistics like: histogram (weighted by the gradient magnitude in the case of HOG), information, entropy and energy of the local binary code. We use Adaboost for training four classifiers and we analyze the classification error of each method on the Daimler benchmark pedestrian dataset.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130345975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Valerio Digani, Lorenzo Sabattini, C. Secchi, C. Fantuzzi
{"title":"Towards decentralized coordination of multi robot systems in industrial environments: A hierarchical traffic control strategy","authors":"Valerio Digani, Lorenzo Sabattini, C. Secchi, C. Fantuzzi","doi":"10.1109/ICCP.2013.6646110","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646110","url":null,"abstract":"This paper describes an innovative approach to manage multiple Automated Guided Vehicles (AGVs) in an industrial environment. The proposed approach is based on a two layer architecture for path planning. This architecture consists of a topological layer, composed by macro-cells, and of a route map layer in which the AGVs have to move along fixed paths. The traffic is managed in a decentralized manner. Each AGV computes autonomously its own path both at topological layer and at route map layer. The coordination among the AGVs is based on the negotiation of shared resources. An early phase of validation is provided by the simulation in a structured environment.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123730224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic based service discovery","authors":"Alexandru Petculescu","doi":"10.1109/ICCP.2013.6646130","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646130","url":null,"abstract":"Some of the most dynamic systems being built today consist of physically mobile hosts and logically mobile agents. Such systems exhibit frequent configuration changes and a great deal of resource variability. In this article we present a semantic service discovery and the semantic algorithm it relies on. Finally we present results obtained in the implementation of this algorithm and our conclusions.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"34 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116496716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance analysis of WLAN based mobile robot teleoperation","authors":"Z. Szántó, L. Márton, P. Haller, Sebestyen Gyorgy","doi":"10.1109/ICCP.2013.6646125","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646125","url":null,"abstract":"The present paper demonstrates through experiments that the performance of a teleoperated robot system is strongly influenced by the quality of the communication environment, which in our case was a wireless LAN (WLAN). We analyzed the path following capability of a human operator in the case of a teleoperated robot, with haptic feedback. We investigated the influence of external WLAN traffic over the precision of robot tracking. The paper presents both the design of the bilateral teleoperation system for mobile robots and the experimental methodology for performance evaluation of teleoperation systems in open wireless networks.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133820581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on the method of analyzing traffic condition based on the bus surveillance video","authors":"Zhang Fei, Liu Guang-ming","doi":"10.1109/ICCP.2013.6646090","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646090","url":null,"abstract":"Traffic congestion has been the most intractable problem for most of countries' governments. It is crucial to solve the traffic congestion that traffic departments achieve the real-time information of traffic condition and release it to the public. The front cameras of buses record the traffic conditions of the main roads of a city. The real-time traffic conditions can be achieved through analyzing the surveillance video of this camera. Design the model to collecting images from the camera, and preprocess these images to make subsequent processing easier. Propose the idea of the average background, and the method of background subtraction is used to detect vehicles. Propose the calculation method of the pixel's weight of image under the perspective law and of the congestion index on the basis of the vehicle pixel statistics, and divide traffic congestion into levels by the index. In the end, experiment is designed to validate the methods.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Omnidirectional camera","authors":"M. Aikio, Jukka-Tapani Makinen, Bo Yang","doi":"10.1109/iccp.2013.6646111","DOIUrl":"https://doi.org/10.1109/iccp.2013.6646111","url":null,"abstract":"We investigated the possibility of adding a wide-angle converter lens on top of an existing mobile phone camera to provide a 360 degree image of the surroundings of the phone. The motivation behind this work is a possibility of a video stream from a meeting where every participant would be imaged at the same time with sufficient resolution, eliminating the need for separate conferencing equipment. While it is true that the same could be achieved with a fish-eye lens, we believe that our solution is unique and has certain advantages over the fish-eye lens in manufacturing and also in specific imagery cases.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126494212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image based fog detection and visibility estimation for driving assistance systems","authors":"M. Negru, S. Nedevschi","doi":"10.1109/ICCP.2013.6646102","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646102","url":null,"abstract":"An advanced driving assistance system (ADAS) must also take into account the weather conditions. One of the most dangerous weather conditions for driving scenarios is the presence of fog. So an important task for a driving assistance system is to detect the presence of fog, estimate the fog's density and determine the visibility distance of the driver. Our method is based on a single in-vehicle camera and is actually an improvement over existing fog detection solutions, in terms of speed and accuracy. We are able to detect day time fog in a wide range of scenarios, including urban scenarios. After detecting the presence of fog in the image and based on the fog's density we are able to compute the visibility distance and inform the driver about the environment's weather conditions.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128561448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sparse matrix permutations to a block triangular form in a distributed environment","authors":"A. Mocanu, N. Tapus","doi":"10.1109/ICCP.2013.6646131","DOIUrl":"https://doi.org/10.1109/ICCP.2013.6646131","url":null,"abstract":"Arranging the sparse circuit matrix into a diagonal block upper triangular form is the first step of the KLU algorithm. This paper presents the two steps of the parallel algorithm, running in a distributed environment, that performs unsymmetric and symmetric permutations of the matrix's rows. First, using the [Duff] maximum transversal algorithm and performing asymmetrical permutations, the matrix is shaped to achieve a zero free diagonal. Then, searching the strongly connected components of the associated matrix's graph, and performing symmetric permutation, the sparse matrix is shaped in a diagonal block upper triangular form. Both algorithm and architecture are presented.","PeriodicalId":380109,"journal":{"name":"2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121250494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}