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A Vision-aided Localization and Geo-registration Method for Urban ARGIS Based on 2D Maps
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作者 Chen DENG Xiong YOU +3 位作者 Weiwei ZHANG Meixia ZHI Diao LIN Wang XU 《Journal of Geodesy and Geoinformation Science》 2022年第3期93-110,共18页
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... 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. 展开更多
关键词 augmented reality ARGIS geo-registration vision-aided localization hybrid localization portable sensors
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