18143945. APPARATUS AND METHOD FOR OBJECT DETECTION simplified abstract (KIA CORPORATION)
Contents
- 1 APPARATUS AND METHOD FOR OBJECT DETECTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD FOR OBJECT DETECTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Object Detection Technology
- 1.13 Original Abstract Submitted
APPARATUS AND METHOD FOR OBJECT DETECTION
Organization Name
Inventor(s)
APPARATUS AND METHOD FOR OBJECT DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18143945 titled 'APPARATUS AND METHOD FOR OBJECT DETECTION
Simplified Explanation
An object detection apparatus uses a sensor device and a processor to analyze images and identify objects. It calculates overlapping degrees and depth deviations between bounding boxes to improve accuracy.
Key Features and Innovation
- Utilizes sensor device and processor for object detection.
- Calculates two-dimensional overlapping degree and depth deviation between bounding boxes.
- Reflects depth deviation to calculate three-dimensional overlapping degree.
- Performs non-maximum suppression procedure based on three-dimensional overlapping degree.
Potential Applications
This technology can be used in:
- Surveillance systems
- Autonomous vehicles
- Robotics
- Augmented reality applications
Problems Solved
- Improves accuracy of object detection.
- Reduces false positives in identifying objects.
- Enhances efficiency of non-maximum suppression procedures.
Benefits
- Increased precision in object detection.
- Enhanced performance in various applications.
- Improved reliability in identifying objects.
Commercial Applications
- This technology can be applied in industries such as:
- Security and surveillance
- Automotive
- Manufacturing
- Gaming and entertainment
Prior Art
There may be prior art related to object detection algorithms, machine learning in image processing, and non-maximum suppression techniques.
Frequently Updated Research
Stay updated on advancements in object detection algorithms, machine learning models for image analysis, and improvements in non-maximum suppression methods.
Questions about Object Detection Technology
What are the key components of an object detection apparatus?
An object detection apparatus typically consists of a sensor device and a processor to analyze images and identify objects accurately.
How does the non-maximum suppression procedure improve object detection accuracy?
The non-maximum suppression procedure helps eliminate redundant bounding boxes and ensures that only the most accurate detection results are retained.
Original Abstract Submitted
An object detection apparatus includes a sensor device and a processor. The sensor device obtains an image. The processor obtains a first bounding box and a second bounding box based on a learning result of the image, calculates a two-dimensional overlapping degree between the first bounding box and the second bounding box, calculates a depth deviation between the first bounding box and the second bounding box, calculates a three-dimensional overlapping degree by reflecting the depth deviation to the two-dimensional overlapping degree, and performs a non-maximum suppression procedure based on the three-dimensional overlapping degree.
