Samsung electronics co., ltd. (20240125923). METHOD AND DEVICE WITH OBJECT RECOGNITION FOR INFORMATION COLLECTED FROM MOVING OBJECT simplified abstract
Contents
- 1 METHOD AND DEVICE WITH OBJECT RECOGNITION FOR INFORMATION COLLECTED FROM MOVING OBJECT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE WITH OBJECT RECOGNITION FOR INFORMATION COLLECTED FROM MOVING OBJECT - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND DEVICE WITH OBJECT RECOGNITION FOR INFORMATION COLLECTED FROM MOVING OBJECT
Organization Name
Inventor(s)
Seung Tae Khang of Suwon-si (KR)
Young Rae Cho of Suwon-si (KR)
METHOD AND DEVICE WITH OBJECT RECOGNITION FOR INFORMATION COLLECTED FROM MOVING OBJECT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240125923 titled 'METHOD AND DEVICE WITH OBJECT RECOGNITION FOR INFORMATION COLLECTED FROM MOVING OBJECT
Simplified Explanation
The patent application describes a method and device for object recognition based on information collected from a sensor of a moving object. The method involves identifying a target with a confidence level of recognition accuracy less than a threshold, obtaining second sensing information on the target from another moving object, synchronizing the first and second sensing information based on time information, and training a neural network for estimating recognition information of the target.
- Object recognition method for information collected from a sensor of a moving object
- Identifying targets with a confidence level of recognition accuracy
- Obtaining second sensing information from an interworking moving object
- Synchronizing sensing information based on time information
- Training a neural network for estimating recognition information
Potential Applications
This technology could be applied in autonomous vehicles for improved object recognition and collision avoidance systems.
Problems Solved
This technology solves the problem of accurately identifying targets with a high level of recognition accuracy in dynamic environments.
Benefits
The benefits of this technology include enhanced safety, improved decision-making capabilities, and increased efficiency in object recognition tasks.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of advanced driver assistance systems (ADAS) for the automotive industry.
Possible Prior Art
One possible prior art for this technology could be existing object recognition systems used in autonomous vehicles or robotics.
Unanswered Questions
How does the neural network handle complex and dynamic environments?
The patent application does not provide detailed information on how the neural network adapts to complex and dynamic environments to ensure accurate object recognition.
What are the limitations of the synchronization process between the first and second sensing information?
The patent application does not address any potential limitations or challenges in synchronizing the sensing information from multiple moving objects.
Original Abstract Submitted
a method and device for object recognition for information collected from a sensor of a moving object are disclosed. the method may include identifying a target with a confidence level of recognition accuracy less than a threshold, based on first sensing information collected from a moving object, obtaining second sensing information on the target from an interworking moving object, synchronizing the first sensing information and the second sensing information based on time information included in the first sensing information and time information included in the second sensing information, and training a neural network for estimating recognition information of the target from the first synchronized sensing information by using information on the target included in the second synchronized sensing information as ground truth data.
