• 专利标题: DETECTION NETWORK BASED ON EMBEDDING DISTANCE MODELS
  • 申请号: EP24170222.4
    申请日: 2024-04-15
  • 公开(公告)号: EP4447005A1
    公开(公告)日: 2024-10-16
  • 发明人: SHIN, Dongeek
  • 申请人: Google LLC
  • 申请人地址: US Mountain View, CA 94043 1600 Amphitheatre Parkway
  • 代理机构: Chettle, John Edward
  • 优先权: US202318134783 20230414
  • 主分类号: G06V20/56
  • IPC分类号: G06V20/56 G06V10/82 G06V20/52
DETECTION NETWORK BASED ON EMBEDDING DISTANCE MODELS
摘要:
The present disclosure provides a space analytics system configured to determine the location of a vehicle using on-car camera snapshots to feature match against a pre-calibrated map. The system may estimate the location of a vehicle using the pre-calibrated map based on embeddings from reference images taken of the parking spot. The system may determine the location of the vehicle based on comparing reference image embeddings to real-time image embeddings and determining which comparison yields the embedding distance scores below the required threshold for a match.
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