Samsung electronics co., ltd. (20240133694). METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION simplified abstract
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 20240133694 titled 'METHOD AND DEVICE WITH PATH DISTRIBUTION ESTIMATION
Simplified Explanation
The abstract describes a processor-implemented method that involves generating initial information, generating multiple paths using a planner ensemble, and training a path distribution estimation model to output a path distribution corresponding to the generated paths.
- The method involves generating initial information such as map information, departure information, and arrival information.
- The initial information is inputted into a planner ensemble to generate a plurality of paths.
- A path distribution estimation model is trained to output a path distribution corresponding to the generated paths.
Potential Applications
This technology could be applied in various industries such as transportation, logistics, and urban planning to optimize route planning and improve efficiency.
Problems Solved
This technology helps in solving the problem of finding the most optimal path among multiple options, saving time and resources for users.
Benefits
The benefits of this technology include improved route planning accuracy, increased efficiency in navigation, and better decision-making based on path distribution estimation.
Potential Commercial Applications
A potential commercial application of this technology could be in developing advanced navigation systems for vehicles, delivery services, and transportation companies.
Possible Prior Art
One possible prior art for this technology could be existing route planning algorithms used in navigation systems and logistics software.
What is the impact of this technology on urban planning?
This article does not specifically address the impact of this technology on urban planning.
How does this technology compare to existing route planning methods?
This article does not provide a direct comparison between this technology and existing route planning methods.
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.
