Samsung electronics co., ltd. (20240280375). METHOD AND APPARATUS FOR MAPPING INDOOR simplified abstract
METHOD AND APPARATUS FOR MAPPING INDOOR
Organization Name
Inventor(s)
Hyuncheol Park of Suwon-si (KR)
METHOD AND APPARATUS FOR MAPPING INDOOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240280375 titled 'METHOD AND APPARATUS FOR MAPPING INDOOR
Simplified Explanation
The patent application describes a method for mapping indoor spaces using a combination of deep neural networks and radar scanning technology.
Key Features and Innovation
- Generation of vectorized house structure data for a target house based on a standard house plan using a deep neural network.
- Acquisition of a radar map by scanning a travelable space in a region containing at least one room of the target house.
- Image matching-fusion processing to create a house display plan of the target house.
Potential Applications
This technology could be used for indoor navigation systems, home security monitoring, and virtual reality applications.
Problems Solved
This technology addresses the challenges of accurately mapping indoor spaces, especially in complex structures like houses.
Benefits
The method offers a more efficient and accurate way to map indoor spaces, leading to improved navigation and security systems.
Commercial Applications
- Indoor navigation systems for large buildings and complexes.
- Home security monitoring systems.
- Virtual reality applications for immersive experiences.
Prior Art
Researchers can explore prior art related to indoor mapping technologies, deep neural networks, and radar scanning methods.
Frequently Updated Research
Stay updated on advancements in deep neural networks, radar scanning technology, and indoor mapping applications.
Questions about Indoor Mapping Technology
How does this method improve upon traditional indoor mapping techniques?
This method combines deep neural networks and radar scanning technology to provide more accurate and detailed indoor maps compared to traditional methods.
What are the potential limitations of using radar scanning for indoor mapping?
Radar scanning may face challenges in accurately capturing fine details or distinguishing between different materials in indoor spaces.
Original Abstract Submitted
a method for mapping indoor includes: generating, based on a standard house plan of a target house, vectorized house structure data for the target house using a deep neural network; acquiring a first radar map by scanning a travelable space of a first region with a radar, the first region containing at least one room of the target house; and performing image matching-fusion processing based on the first radar map and the house structure data to obtain a house display plan of the target house.