Hyundai motor company (20240132084). METHOD AND SYSTEM FOR RECOGNIZING OBJECT simplified abstract
Contents
- 1 METHOD AND SYSTEM FOR RECOGNIZING OBJECT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM FOR RECOGNIZING 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 Original Abstract Submitted
METHOD AND SYSTEM FOR RECOGNIZING OBJECT
Organization Name
Inventor(s)
Kyeong Eun Kim of Gunpo-si (KR)
Kyeong Jin Jeon of Goyang-si (KR)
METHOD AND SYSTEM FOR RECOGNIZING OBJECT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240132084 titled 'METHOD AND SYSTEM FOR RECOGNIZING OBJECT
Simplified Explanation
The object detection method described in the abstract involves determining an error parameter associated with the movement of a vehicle, calculating the velocity of a point on the vehicle, generating a local map based on the vehicle's movement, and detecting objects around the vehicle using the local map.
- Determining error parameter through regression method based on vehicle positioning and dynamics information
- Calculating velocity of a point on the vehicle based on fixed error parameter stored in memory
- Generating local map considering vehicle movement
- Detecting objects around the vehicle based on the local map
Potential Applications
This technology could be applied in autonomous vehicles, collision avoidance systems, and advanced driver assistance systems.
Problems Solved
This technology helps in detecting objects around a vehicle accurately, which can prevent accidents and improve overall safety on the road.
Benefits
The benefits of this technology include improved object detection accuracy, enhanced safety features in vehicles, and potential for reducing accidents on the road.
Potential Commercial Applications
The potential commercial applications of this technology include integration into autonomous vehicles, installation in commercial fleets for safety purposes, and licensing to automotive manufacturers for inclusion in their vehicles.
Possible Prior Art
One possible prior art could be existing object detection systems used in vehicles, such as radar-based systems or camera-based systems.
What are the specific regression methods used to determine the error parameter in this technology?
The specific regression methods used in this technology are not mentioned in the abstract. Further details on the regression methods employed would provide a clearer understanding of the error parameter calculation process.
How does the technology differentiate between different types of objects detected around the vehicle?
The abstract does not specify how the technology distinguishes between different types of objects detected around the vehicle. Understanding the method used for object differentiation would be crucial in assessing the system's overall effectiveness in object detection.
Original Abstract Submitted
an object detection method includes determining an error parameter associated with an amount of movement of a vehicle through a predetermined regression method based on positioning information of the vehicle and dynamics information of the vehicle with respect to a predetermined center of gravity of the vehicle, determining a velocity of a predetermined point of the vehicle, based on a fixed error parameter stored in a memory or a corrected fixed error parameter, through a comparison between the error parameter and the fixed error parameter, generating a local map in consideration of the amount of movement of the vehicle based on the determined velocity, and detecting an object around the vehicle based on the local map.
