Name
Abstract | ||
|---|---|---|
Mobile phones are an attractive platform for landmark-based pedestrian navigation systems. To be practical, such a system must be able to automatically generate lightweight directions that can be displayed on these mobile devices. We present a system that leverages an online collection of geotagged photographs to automatically generate navigational instructions. These are presented to the user as a sequence of images of landmarks augmented with directional instructions. Both the landmark selection and image augmentation are done automatically. We present a user study that indicates these generated directions are beneficial to users and suggest areas for future improvement. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1543137.1543167 | MUM |
Keywords | Field | DocType |
landmark-based pedestrian navigation,geotagged photograph,landmark-based pedestrian navigation system,directional instruction,mobile device,attractive platform,user study,mobile phone,future improvement,landmark selection,image augmentation | Computer science,Pedestrian navigation,Visual navigation,Human–computer interaction,Artificial intelligence,Computer vision,Mobile search,Turn-by-turn navigation,Mobile device,Mobile robot navigation,Landmark,User studies,Multimedia | Conference |
Citations | PageRank | References |
34 | 1.67 | 13 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harlan Hile | 1 | 201 | 14.79 |
| Ramakrishna Vedantham | 2 | 359 | 17.15 |
| Gregory Cuellar | 3 | 40 | 2.74 |
| Alan Liu | 4 | 34 | 1.67 |
| Natasha Gelfand | 5 | 1236 | 67.99 |
| Radek Grzeszczuk | 6 | 2562 | 204.55 |
| Gaetano Borriello | 7 | 6050 | 777.11 |