18304118. METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION
Organization Name
Inventor(s)
Younghwa Jung of Suwon-si (KR)
METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18304118 titled 'METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION
Simplified Explanation
The abstract describes a method for generating multiple paths based on initial information and training a model to estimate the distribution of these paths.
- The method involves generating initial information such as map, departure, and arrival information.
- The initial information is inputted into a planner ensemble to generate multiple paths.
- A path distribution estimation model is trained to output a distribution corresponding to the generated paths.
Potential Applications
This technology could be applied in various fields such as transportation, logistics, and urban planning to optimize route planning and decision-making processes.
Problems Solved
This technology solves the problem of efficiently generating and evaluating multiple paths based on different initial information, allowing for better decision-making and route optimization.
Benefits
The benefits of this technology include improved route planning, enhanced decision-making processes, and optimized resource allocation in various applications.
Potential Commercial Applications
The potential commercial applications of this technology include route optimization software, logistics management systems, and transportation planning tools.
Possible Prior Art
One possible prior art could be existing route planning algorithms and systems used in transportation and logistics industries.
What are the specific planner ensembles used in this method?
The abstract does not specify the exact planner ensembles used in the method. Further details on the specific algorithms or techniques employed in the planner ensemble would provide a clearer understanding of the technology.
How is the path distribution estimation model trained in this method?
The abstract mentions training a path distribution estimation model, but it does not elaborate on the specific training process or techniques used. Additional information on the training methodology would be beneficial in understanding the model's accuracy and reliability.
Original Abstract Submitted
A processor-implemented method includes: generating initial information comprising any one or any combination of any two or more of map information, departure information, and arrival information; generating a plurality of paths by inputting the initial information to a planner ensemble; and training a path distribution estimation model to output a path distribution corresponding to the plurality of paths.
