17968758. ROUTE IDENTIFICATION AND CLUSTERING FOR REAL-TIME MAPPING simplified abstract (Apple Inc.)
ROUTE IDENTIFICATION AND CLUSTERING FOR REAL-TIME MAPPING
Organization Name
Inventor(s)
Fatemeh Ghafoori of Santa Clara CA (US)
Christina Selle of Los Altos CA (US)
Christine Zhu of Sunnyvale CA (US)
Michael P. Dal Santo of San Francisco CA (US)
Venkata Sai Sriharsha Sammeta of Sunnyvale CA (US)
ROUTE IDENTIFICATION AND CLUSTERING FOR REAL-TIME MAPPING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17968758 titled 'ROUTE IDENTIFICATION AND CLUSTERING FOR REAL-TIME MAPPING
Simplified Explanation
The subject technology provides a method for identifying and clustering routes in real-time mapping.
- Clustering techniques are used to group relevant prior routes that can be compared to a current route.
- Filtering and matching techniques are applied to identify and cluster prior routes.
- Tracked activity is compared to prior activities to provide movement metrics and real-time comparisons.
Potential Applications
This technology can be applied in various fields, including:
- Navigation and mapping applications
- Transportation and logistics management
- Fitness and activity tracking devices
- Emergency response and route planning systems
Problems Solved
This technology addresses the following problems:
- Difficulty in identifying relevant prior routes for comparison
- Lack of real-time mapping and movement metrics
- Inefficient route planning and tracking systems
Benefits
The benefits of this technology include:
- Improved accuracy and efficiency in route identification and clustering
- Real-time mapping and movement comparisons
- Enhanced route planning and tracking capabilities
Original Abstract Submitted
The subject technology provides for route identification and clustering for real-time mapping. Various clustering techniques can identify groupings of relevant prior routes that can later be mapped against a current route. Filtering and matching techniques can be applied to identify and cluster prior routes. Tracked activity can also be compared against applicable prior activities to provide movement metrics and real-time comparisons between current and one or more recorded activities.