18229440. METHOD AND SYSTEM FOR RECOGNIZING OBJECT simplified abstract (Hyundai Motor Company)
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 using positioning and dynamics information of a vehicle to detect objects around it. Here are some key points to explain the innovation:
- Determining an error parameter associated with the movement of a vehicle through a regression method.
- Calculating the velocity of a point on the vehicle based on the error parameter.
- Generating a local map considering the vehicle's movement to detect objects.
- Utilizing a fixed error parameter stored in memory for comparison.
Potential Applications
This technology can be applied in various fields such as autonomous driving, robotics, surveillance systems, and smart transportation systems.
Problems Solved
1. Improved object detection accuracy around vehicles. 2. Enhanced safety measures for drivers and pedestrians.
Benefits
1. Increased efficiency in detecting objects in the vehicle's vicinity. 2. Enhanced decision-making capabilities for autonomous systems. 3. Improved overall safety on the road.
Potential Commercial Applications
"Advanced Object Detection Method for Autonomous Vehicles" can be utilized in industries such as automotive, transportation, security, and robotics.
Possible Prior Art
One possible prior art could be the use of sensor fusion techniques in object detection systems for vehicles.
What are the limitations of the proposed technology in real-world applications?
The abstract does not mention the potential limitations or challenges that may arise when implementing this technology in real-world scenarios. It would be crucial to address factors such as environmental conditions, accuracy of the positioning information, and computational requirements for practical applications.
How does this technology compare to existing object detection methods in terms of accuracy and efficiency?
The abstract does not provide a direct comparison with existing object detection methods in terms of accuracy and efficiency. Conducting comparative studies with other detection systems could help evaluate the performance of this technology in different scenarios.
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.
