18229440. METHOD AND SYSTEM FOR RECOGNIZING OBJECT simplified abstract (Kia Corporation)
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 18229440 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 based on the local map.
- Determining error parameter through regression method based on vehicle positioning and dynamics information
- Calculating velocity of a point on the vehicle using fixed error parameter stored in memory
- Generating local map based on determined velocity to consider vehicle movement
- Detecting objects around the vehicle based on the local map
Potential Applications
This technology can be applied in autonomous vehicles, collision avoidance systems, and surveillance systems for object detection and tracking.
Problems Solved
This technology helps in improving safety on the road by detecting objects around the vehicle and providing early warnings to the driver or autonomous system to avoid collisions.
Benefits
The benefits of this technology include enhanced object detection capabilities, improved accuracy in determining object proximity, and increased overall safety for vehicles and pedestrians.
Potential Commercial Applications
- Autonomous vehicle technology
- Advanced driver assistance systems (ADAS)
- Surveillance and security systems for object detection
Possible Prior Art
One possible prior art for this technology could be existing object detection systems used in autonomous vehicles and collision avoidance systems.
Unanswered Questions
How does this technology handle complex road scenarios such as intersections or crowded areas?
The abstract does not provide information on how the object detection method adapts to complex road scenarios where multiple objects are present or where there are various potential collision points.
What is the accuracy rate of object detection using this method compared to existing systems?
The abstract does not mention the accuracy rate of object detection achieved by this method and how it compares to other object detection systems currently available in the market.
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.
