Most visual positioning works somewhere. The hard problem is working everywhere, because every environment fails differently. Repetitive geometry defeats retrieval. Crowds occlude the features you mapped against. Daylight and windowless corridors sit forty seconds apart on the same route. A system tuned for one of these is not a system tuned for the next. That is why most deployments stay inside the environment they were built for.
360Maps by 360 Channel did not. Since October 2025, 360Channel has deployed its AR wayfinding and anchored-content product across six distinct environment classes in Tokyo and Yokohama: a vertical mixed-use tower, open streets, an indoor-to-outdoor route spanning separate buildings, an exhibition gallery, a major arena, and a working government building. MultiSet provides the localization layer underneath.
Here is why each environment breaks most visual positioning, and why MultiSet VPS holds.
Plain walls, uniform surfaces, corridors that resemble other corridors. A retrieval system trained on feature-rich scenes finds a strong match and places you a section away, confidently. An arena is this problem in its purest form, since a seating bowl is repetitive by design. The response is to stop treating all features as equal evidence: an attention-based mechanism up-weights the details that genuinely distinguish one location from another and discounts the ones that recur everywhere. On MultiSet's internal benchmark of more than 70 datasets and 16,068 test queries, this raised overall recall from 54.6% to 61.8%. On the hardest transit scene in that benchmark, median position error fell from 6.0 m to 1.8 m and the false-positive rate dropped from 73% to 13%.
One handles interiors, another leans on GNSS outdoors, and the handoff between them is visible to the user as a jump. A route that leaves a tower, crosses an open plaza and enters a second building offers no clean place to make that switch: GPS is unreliable between towers and unavailable inside them. Holding a single coordinate frame across the threshold removes the seam rather than managing it.
Placing a marker three metres ahead forgives a degree or two of rotational error. Placing content a hundred metres away does not: at that distance, angular accuracy dominates the result, and a lock that is precise in position but loose in orientation puts the content in the wrong part of the sky.
360Channel surveys its venues with 3D scanners that produce 3D Gaussian Splatting data, the same survey data behind its digital twin work. MultiSet ingests metric-scaled Gaussian splats directly and converts them into production localization maps: a .ply and a poses.json in, a queryable VPS map out, at 5 cm median localization accuracy with pose queries under 1,500 ms. One survey of a building yields both a machine-readable map and a photorealistic viewable asset.
That is a deliberate bet on where capture is heading. Gaussian splatting is becoming the JPEG of 3D, with Khronos standardization targeted for Q2 2026, and treating it as a first-class localization input means a venue's existing capture pipeline feeds positioning without a separate mapping exercise.
Retrieval and matching are trained specifically on repetitive, feature-sparse interiors like malls, transit stations, and campuses, across varying lighting and crowd densities, rather than on the well-lit, feature-rich scenes that make benchmarks look good.
Venues change: tenants move, exhibits are installed and struck, layouts shift. Anchors and annotations persist across re-scans, with rollback and rate-of-change analytics. For a venue running several activations a year against one map, that is the difference between infrastructure and rebuilding from scratch each time.
Six environments, one localization layer, nothing installed in the building.
