Augmented Reality Indoor-Outdoor Navigation Through a Campus Digital Twin
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Geolocated services can play a significant role in enhancing user experiences, in complex environments like complex campuses, for onboarding new employees and students and guiding tourists and visitors. This motivation is driving research and development in the area of geolocated augmented reality (AR) navigation but the field is still quite young. CampusGo is a software platform designed to provide a coherent suite of services to enable the development of AR-enabled, smart-campus applications, including (i) integration of a variety of multimodal data about the campus, such as building architectural diagrams and 3D models of buildings, people's profiles, offices and labs, landmarks and events; (ii) indoor and outdoor path-planning services; (iii) real-time navigation support; and (iv) engaging web and mobile front ends. In this paper, we present the overall system architecture and describe our early experience with deploying and beta-testing CampusGo on a university campus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it