18134783. Detection Network Based On Embedding Distance Models simplified abstract (GOOGLE LLC)
Contents
Detection Network Based On Embedding Distance Models
Organization Name
Inventor(s)
Dongeek Shin of San Jose CA (US)
Detection Network Based On Embedding Distance Models - A simplified explanation of the abstract
This abstract first appeared for US patent application 18134783 titled 'Detection Network Based On Embedding Distance Models
The present disclosure introduces a space analytics system that utilizes on-car camera snapshots to determine the location of a vehicle by matching them against a pre-calibrated map.
- The system estimates the vehicle's location based on embeddings from reference images of the parking spot.
- It compares reference image embeddings to real-time image embeddings to determine the vehicle's location.
- The system identifies a match when the embedding distance scores fall below a required threshold.
Potential Applications: - Automated parking systems - Vehicle tracking and navigation - Traffic management and optimization
Problems Solved: - Efficient vehicle location determination - Enhanced parking spot identification - Improved navigation accuracy
Benefits: - Increased efficiency in parking operations - Reduced time spent searching for parking spots - Enhanced overall vehicle navigation experience
Commercial Applications: Title: Advanced Vehicle Location System for Parking Operations This technology can be utilized in smart parking systems, autonomous vehicles, and urban transportation management, offering improved efficiency and accuracy in vehicle location tracking.
Questions about the technology: 1. How does the system handle variations in lighting conditions for accurate vehicle location determination?
The system is designed to account for different lighting conditions by utilizing advanced image processing algorithms that can adapt to varying levels of brightness and contrast.
2. Can the system be integrated with existing navigation systems in vehicles?
Yes, the system can be integrated with existing navigation systems through API integration, providing real-time location updates and enhancing overall navigation accuracy.
Original Abstract Submitted
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.
