An autonomous sensor for 3D reconstruction

被引:0
|
作者
Leevers, D
Gil, P
Lopes, FM
Pereira, J
Castro, J
Gomes-Mota, J
Ribeiro, MI
Gonçcalves, JGM
Sequeira, V
Wolfart, E
Dupourque, V
Santos, V
Butterfield, S
Hogg, D
Ng, K
机构
[1] VERS Associates, Hemel Hempstead HP2 4SJ, England
[2] INESC, Grp Ambientes Interacti Vos Na Visualizacao & Na, P-1000 Lisbon, Portugal
[3] Inst Super Tecn, Ist Sistemas & Robot, P-1096 Lisbon, Portugal
[4] Commiss European Communities, Joint Res Ctr, I-21020 Ispra, VA, Italy
[5] Robosoft SA, F-64210 Bidart, France
[6] Univ Aveiro, Dept Engn Mecan, P-3810 Aveiro, Portugal
[7] Univ Leeds, Sch Comp Studies, Leeds LS2 9JT, W Yorkshire, England
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We describe an automated approach to the reconstruction of 3D interiors from laser range data and digital images. This is achieved using a scanning laser rangefinder and digital camera that are mounted on an autonomous mobile platform known as the AEST. The objective is to reproduce complete interiors that are accurate enough for surveying, virtual studio and Augmented Reality applications. The AEST selects and navigates to a series of capture points to progressively reconstruct a 3D textured model to the required degree of accuracy. Navigation and structural information is used to register the data from each new capture point relative to the partial model. The user interface is a web browser with a radio link to the AEST. Results can be viewed in a VRML window as they are obtained. The AEST has been developed in EU-ACTS project RESOLV.
引用
收藏
页码:13 / 25
页数:13
相关论文
共 50 条
  • [21] Easy and Fast Reconstruction of a 3D Avatar with an RGB-D Sensor
    Mao, Aihua
    Zhang, Hong
    Liu, Yuxin
    Zheng, Yinglong
    Li, Guiqing
    Han, Guoqiang
    SENSORS, 2017, 17 (05)
  • [22] Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
    Ma, Xinzhu
    Wang, Zhihui
    Li, Haojie
    Zhang, Pengbo
    Ouyang, Wanli
    Fan, Xin
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 6850 - 6859
  • [23] An autonomous active vision system for complete and accurate 3D scene reconstruction
    Marchand, É
    Chaumette, F
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 1999, 32 (03) : 171 - 194
  • [24] An Autonomous Active Vision System for Complete and Accurate 3D Scene Reconstruction
    Éric Marchand
    François Chaumette
    International Journal of Computer Vision, 1999, 32 : 171 - 194
  • [25] Autonomous Exploration, Reconstruction, and Surveillance of 3D Environments Aided by Deep Learning
    Ly, Louis
    Tsai, Yen-Hsi Richard
    2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 5467 - 5473
  • [26] Scene reconstruction techniques for autonomous driving: a review of 3D Gaussian splatting
    Zhu, Huixin
    Zhang, Zhili
    Zhao, Junyang
    Duan, Hui
    Ding, Yao
    Xiao, Xiongwu
    Yuan, Junsong
    ARTIFICIAL INTELLIGENCE REVIEW, 2024, 58 (01)
  • [27] VISUAL NAVIGATION AND 3D RECONSTRUCTION OF UNDERWATER OBJECTS WITH AUTONOMOUS UNDERWATER VEHICLE
    Bobkov, V. A.
    Kudryashov, A. P.
    Melman, S. V.
    Scherbatyuk, A. F.
    2017 24TH SAINT PETERSBURG INTERNATIONAL CONFERENCE ON INTEGRATED NAVIGATION SYSTEMS (ICINS), 2017,
  • [28] NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction With Implicit Neural Representations
    Ran, Yunlong
    Zeng, Jing
    He, Shibo
    Chen, Jiming
    Li, Lincheng
    Chen, Yingfeng
    Lee, Gimhee
    Ye, Qi
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (02) : 1125 - 1132
  • [29] PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving
    Shi, Yining
    Li, Jiusi
    Jiang, Kun
    Wang, Ke
    Wang, Yunlong
    Yang, Mengmeng
    Yang, Diange
    2024 INTERNATIONAL CONFERENCE IN 3D VISION, 3DV 2024, 2024, : 1219 - 1228
  • [30] Next View Planning Policy for Autonomous 3D Reconstruction of Unknown Environments
    Han, Haoyi
    Li, Shuai
    Chen, Jiemin
    Lin, Qing
    Chen, Quanjie
    Wang, Zhan
    2023 8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023, 2023, : 766 - 771