Abstract:Aiming at the complicated unstructured indoor environment and the dynamic service task of robots, an environment cognition method based on quick response (QR) code technology is proposed. Under the premise of gaining depth information with binocular vision, the uncertain mathematic model of binocular vision information is established on Dezert-Smarandache theory (DSmT) evidence theory. And the three-dimensional grid map is formed which describes the occupied/free probability of the voxel. While the three-dimensional map is structured, the semantic labels for the large objects are added by QR code based object mark plastered on large objects. The occupied/free values of the corresponding voxels are updated based on the dimension of the large object. Then, the three-dimensional grid semantic map is formed which includes the function property and the attributive relation of the large objects. The experiments are carried out to compare several information fusion algorithms with the proposed method and analyze the recognition accuracy for the artificial object marks. The results prove the availability and feasibility of the proposed method.
[1] Peter B,Andreasson H,Duckett T,et al.3D Modeling of Indoor Environments by a Mobile Robot with a Laser Scanner and Panoramic Camera // Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems.Sendai,Japan,2004,IV: 3430-3435 [2] Hanel D,Burgard W,Thrun S.Learning Compact 3D Models of Indoor and Outdoor Environments with a Mobile Robot.Robotics and Autonomous Systems,2003,44(1): 15-27 [3] Tomono M.3-D Object Map Building Using Dense Object Models with SIFT-Based Recognition Features // Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems.Beijing,China,2006: 1885-1890 [4] Saez J M,Escolano F.A Global 3D Map-Building Approach Using Stereo Vision // Proc of the IEEE International Conference on Robotics Automation.New Orleans,USA,2004,II: 1197-1202 [5] Yokoya T,Hasegawa T,Kurazume R.Autonomously Generating a 3D Map of Unknown Environment by Using Mobile Robots Equipped with LRF // Proc of the IEEE International Conference on Robotics and Biomimetics.Guilin,China,2009 : 269-274 [6] Chen Huahua,Ye Xueyi.Local 3D Map Building Based on Projection of Virtual Height Line // Proc of the 1st International Conference on Intelligent Networks and Intelligent Systems.Wuhan,China,2008: 475-478 [7] Kagami S,Hanai R,Hatao N,et al.Outdoor 3D Map Generation Based on Planar Feature for Autonomous Vehicle Navigation in Urban Environment // Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems.Taipei,China,2010 : 1526-1531 [8] Sun Jun.3D Map Building Based on Data Provided by Autonomous Land Robots.Master Dissertation.Nanjing,China: Nanjing University of Science and Technology,2005 (in Chinese) (孙 珺.基于地面移动机器人感知信息的三维地图构建.硕士学位论文.南京:南京理工大学,2005) [9] Zhao Shoupeng,Tian Guohui ,Li Xiaolei.Robot Autonomous Localization Based on a Single Artificial Landmark.Journal of Shandong University: Engineering Science,2007,37(4): 39-45 (in Chinese) (赵守鹏,田国会,李晓磊.基于单个人工地标的机器人自主定位.山东大学学报:工学版,2007,37(4): 39-45) [10] Xue Hongtao,Tian Guohui,Li Xiaolei,et al.Application of the QR Code for Various Object Identification and Manipulation.Journal of Shandong University: Engineering Science,2007,37(6): 25-31 (in Chinese) (穴洪涛,田国会,李晓磊,等.QR Code在多种类物体识别与操作中的应用.山东大学学报:工学版,2007,37(6): 25-31) [11] Bu Fanqian.Research on Localization and Mapping of Service Robot Based on Intelligent Space.Ph.D Dissertation.Jinan,China: Shandong University,2008 (in Chinese) (卜范骞.基于智能空间的服务机器人定位与构图技术研究.博士学位论文.济南:山东大学,2008) [12] Dezert J,Smarandache F.On the Generation of Hyper-Power Sets for the DSmT // Proc of the 6th International Conference on Information Fusion.Cairns,Australia,2003,II: 1118-1125 [13] Li Xinde.Research on Fusion Method of Imperfect Information from Multi-Source and Its Application.Ph.D Dissertation.Wuhan,China: Huazhong University of Science and Technology,2007 (in Chinese) (李新德.多源不完善信息融合方法及其应用研究.博士学位论文.武汉:华中科技大学,2007) [14] Pearl J.Reasoning with Belief Functions: An Analysis of Compatibility.Approximate Reasoning,1990,4(5/6): 363-389 [15] Liu Aihua.A Method for Condition Evaluation Based on DSmT // Proc of the 2nd IEEE International Conference on Information Management and Engineering.Chengdu,China,2010: 263-266 [16] Scharstein D,Briggs A J.Real-Time Recognition of Self-Similar Landmarks.Image and Vision Computing,2001,19(11): 763-772 [17] Svarm L,Strandmark P.Shift-Map Image Registration // Proc of the 20th International Conference on Pattern Recognition.Istanbul,Turkey,2010: 2341-2345 [18] Ogawa Y,Shimada N,Shirai Y.Environmental Mapping for Mobile Robot by Tracking SIFT Feature Points Using Trinocular Vision // Proc of the Annual Conference on SICE.Kagawa,Japan,2007: 1996-2001 [19] Murali V N,Birchfield S T.Autonomous Navigation and Mapping Using Monocular Low-Resolution Grayscale Vision // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Nevada,USA,2008: 1-8 [20] Wu Hao,Tian Guohui,Xue Yinghua,et al.QR Code-Based Semantic Map Building in Domestic Semi-Unknown Environment.Pattern Recognition and Artificial Intelligence,2010,23(4): 464-470 (in Chinese) (吴 皓,田国会,薛英花,等.基于QR Code技术的家庭半未知环境语义地图构建.模式识别与人工智能,2010,23(4): 464-470) [21] Tian Guohui,Jiang Haitao,Xue Yinghua,et al.The Design,Recognition,Localization and Application of a New Artificial Landmark.Journal of Shandong University: Engineering Science,2011,41(2): 107-113 (in Chinese) (田国会,姜海涛,薛英花,等.新型人工地标的设计、识别、定位及应用.山东大学学报:工学版,2011,41(2): 107-113) [22] Tian Guohui,Zhang Taotao,Wu Hao,et al.Robot Navigation in a Large Scale Environment Based on Distributed Navigation Information.Journal of Shandong University: Engineering Science,2011,41(1): 24-31 (in Chinese) (田国会,张涛涛,吴 皓,等.基于分布式导航信息的大范围环境机器人导航,山东大学学报: 工学版,2011,41(1): 24-31)