Map++: Towards User-Participatory Visual SLAM Systems with Efficient Map Expansion and Sharing
X. Y. Zhang, Hanqi Zhu, Yifan Duan, Wuyang Zhang, Longfei Shangguan, Yu Zhang, Jianmin Ji, Yanyong Zhang
Abstract
Constructing precise 3D maps is crucial for the development of future map-based systems such as self-driving and navigation. However, generating these maps in complex environments, such as multi-level parking garages or shopping malls, remains a formidable challenge. In this paper, we introduce a participatory sensing approach that delegates map-building tasks to map users, thereby enabling cost-effective and continuous data collection. The proposed method harnesses the collective efforts of users, facilitating the expansion and ongoing update of the maps as the environment evolves.
Topics & Concepts
Computer scienceSimultaneous localization and mappingComputer visionCitizen journalismHuman–computer interactionArtificial intelligenceWorld Wide WebMobile robotRobotRobotics and Sensor-Based LocalizationAugmented Reality ApplicationsAdvanced Image and Video Retrieval Techniques