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Mobile Depth Supersets

Combine multiple AR Clip Mapper sessions to create denser indoor maps. This workflow is ideal for retail stores, campuses, and other large venues where a single pass is insufficient.

Workflow​

  1. Record several sessions — cover the same area with overlapping trajectories. Use LiDAR-enabled iOS devices for maximum fidelity.
  2. Download sessions — in space.web-ar.studio open Maps → Sessions, select the recordings, and note their session IDs.
  3. Merge with the REST API — trigger a server-side merge job and retrieve the merged bundle ID.
# merge_sessions.py
import os
import requests

API_BASE = "https://was-vps.web-ar.xyz/vps/api/v3"
TOKEN = os.environ["WEBAR3_TOKEN"]
SESSIONS = ["sess_01h5p", "sess_01h7d", "sess_01hb2"]

headers = {"Authorization": f"Bearer {TOKEN}"}

payload = {
    "name": "Flagship Store Superset",
    "sessions": SESSIONS,
    "publish": False
}

resp = requests.post(f"{API_BASE}/maps/merge", json=payload, headers=headers)
resp.raise_for_status()
info = resp.json()
map_id = info["mapId"]
print(f"Merge started for map {map_id}")

The merge job produces a new map asset that goes through the standard processing pipeline (point cloud clean-up, quality checks). Monitor its status exactly as for a regular import.

Tips​

  • Keep each recording under five minutes to limit drift.
  • Leave visual anchors (posters, signage) that appear in multiple sessions.
  • Once the status becomes READY, open the heatmap in the Console to verify even coverage.