- 专利标题: DETECTION NETWORK BASED ON EMBEDDING DISTANCE MODELS
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申请号: EP24170222.4申请日: 2024-04-15
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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
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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