Viewpoint Planning for Automated 3D Digitization using a Low-cost Mobile Platform

被引：1
|
作者：
Zhang, Sijian [1 ]
Yan, Gangfeng [1 ]
Sheng, Weihua [2 ]
机构：
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Oklahoma State Univ, Sch Elect & Comp Engn, Stillwater, OK 74078 USA
来源：
2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS | 2009年
关键词：
LRF sensor; 3D digitization; mobile robot; ICP;
D O I：
10.1109/IROS.2009.5354245
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a low-cost, simple automated mobile platform for 3D environmental digitization. Compared with other customized 3D digitization platforms, all parts in our platform are commercial off-the-shelf. In order to build a 3D model of a salient target, we present a new viewpoint planning method for fast 3D digitization. Within a predefined accuracy, our method can determine the minimum overlap between two consecutive scanning images to speed up the digitization process. This guarantees the next scanning image can be merged to the previous one properly. The results from both simulation and experiments show the effectiveness of our viewpoint planning method. Our tests of this mobile robot system demonstrate the feasibility of 3D digitization based on a low-cost platform.
引用
下载
收藏
页码：4369 / +
页数：2
相关论文
共 50 条
  • [41] THE CHANGING FACE OF LOW-COST 3D CAD
    PORTER, S
    COMPUTER GRAPHICS WORLD, 1995, 18 (05) : S1 - S2
  • [42] Characterization of a Large, Low-Cost 3D Scanner
    Straub, Jeremy
    Kading, Benjamin
    Mohammad, Atif
    Kerlin, Scott
    TECHNOLOGIES, 2015, 3 (01): : 19 - 36
  • [43] A Multi-Resolution Approach for an Automated Fusion of Different Low-Cost 3D Sensors
    Dupuis, Jan
    Paulus, Stefan
    Behmann, Jan
    Pluemer, Lutz
    Kuhlmann, Heiner
    SENSORS, 2014, 14 (04) : 7563 - 7579
  • [44] Chances and limitations of a low-cost mobile 3D scanner for breast imaging in comparison to an established 3D photogrammetric system
    Koban, Konstantin C.
    Haertnagl, Felix
    Titze, Virginia
    Schenck, Thilo L.
    Giunta, Riccardo E.
    JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 2018, 71 (10): : 1417 - 1423
  • [45] An Interactive platform for low-cost 3D building modeling from VGI data using convolutional neural network
    Fan, Hongchao
    Kong, Gefei
    Zhang, Chaoquan
    BIG EARTH DATA, 2021, 5 (01) : 49 - 65
  • [46] AUTOMATED GENERATION OF HIGH-QUALITY 3D POINT CLOUDS OF ANTLERS USING LOW-COST RANGE CAMERAS
    Cheng, Shu
    Lichti, Derek D.
    Matyas, John
    XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II, 2022, 43-B2 : 531 - 538
  • [47] ANALYSIS OF THE POSSIBILITIES OF USING LOW-COST SCANNING SYSTEM IN 3D MODELING
    Kedzierski, M.
    Wierzbicki, D.
    Fryskowska, A.
    Chlebowska, B.
    XXIII ISPRS CONGRESS, COMMISSION III, 2016, 41 (B3): : 261 - 267
  • [48] Miniaturization of ESPAR Antenna Using Low-Cost 3D Printing Process
    Czelen, M.
    Rzymowski, M.
    Nyka, K.
    Kulas, L.
    2020 14TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP 2020), 2020,
  • [49] Smoothing method for shape measurement by using a low-cost 3D scanner
    Konan University, 8-9-1 Okamoto, Higashinada-ku, Kobe, Hyogo 658-8501, Japan
    不详
    Plasma Fusion Res., 1600, 1 SPECIAL ISSUE
  • [50] Low-cost 3D Scanner Using Off-the-Shelf Technologies
    Frantis, Petr
    Toman, Martin
    INTERNATIONAL CONFERENCE ON MILITARY TECHNOLOGIES (ICMT 2015), 2015, : 351 - 357
12345