Journal of Geodesy and Geoinformation Science ›› 2022, Vol. 5 ›› Issue (3): 93-110.doi: 10.11947/j.JGGS.2022.0310

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A Vision-aided Localization and Geo-registration Method for Urban ARGIS Based on 2D Maps

Chen DENG1(),Xiong YOU1(),Weiwei ZHANG1,Meixia ZHI2,Diao LIN1,Wang XU1   

  1. 1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2022-01-10 Accepted:2022-07-25 Online:2022-09-20 Published:2022-11-17
  • Contact: Xiong YOU;
  • About author:Chen DENG(1990—), male,PhD candidate,majors in virtual reality and geographical environment simulation, augmented reality and location based service.E-mail:


Augmented Reality Geographic Information System (ARGIS) applications can only provide users accurate content services with a highly precise geo-registration. However, the absolute 6DOF (Degree of Freedom) pose provided by the portable sensors is usually inaccurate in urban outdoors, resulting in poorly geo-registration accuracy for ARGIS applications. Aiming at this issue, an automatic vision-aided localization method based on the 2D map is proposed to improve the initial localization accuracy of the portable sensors, and an overall geo-registration optimization framework for outdoor ARGIS is proposed. Based on the initial pose provided by the sensors, the basic principles of the vision-aided localization method are expounded in detail. The experimental results show that the proposed method can effectively correct the initial pose obtained by the pose sensors, and improve the geo-registration accuracy of outdoor ARGIS applications ultimately.

Key words: augmented reality; ARGIS; geo-registration; vision-aided localization; hybrid localization; portable sensors