Crowd-sourced Map Generation
Mahmoud Ezzat Abdelmobdy;
Abstract
Abstract
The wide spreading of geo-aware mobile applications provides the op- portunity for huge amounts of user-contributed GPS trajectories to be available with various levels of accuracy. Constructing road maps is one important benefit of such datasets. Now, many applications rely on road map data to provide their services. However, keeping the road map up- to-date and validating the correctness of generated maps pose interest- ing research challenges. Therefore, the research community has been re- cently interested in proposing alternative means of road map production utilizing the crowd-sourced GPS trajectories. There are some challenges related to the inaccuracies incurred on real datasets, such as missing GPS signals, low sampling rate and bad driving behaviour.
The wide spreading of geo-aware mobile applications provides the op- portunity for huge amounts of user-contributed GPS trajectories to be available with various levels of accuracy. Constructing road maps is one important benefit of such datasets. Now, many applications rely on road map data to provide their services. However, keeping the road map up- to-date and validating the correctness of generated maps pose interest- ing research challenges. Therefore, the research community has been re- cently interested in proposing alternative means of road map production utilizing the crowd-sourced GPS trajectories. There are some challenges related to the inaccuracies incurred on real datasets, such as missing GPS signals, low sampling rate and bad driving behaviour.
Other data
| Title | Crowd-sourced Map Generation | Other Titles | تطوير طرق مستحدثة لإنتاج الخرائط الرقمية بالمشاركة المجتمعية | Authors | Mahmoud Ezzat Abdelmobdy | Issue Date | 2019 |
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