Hyundai motor company (20240104937). VEHICLE AND OBJECT RECOGNITION METHOD OF THE SAME simplified abstract
Contents
- 1 VEHICLE AND OBJECT RECOGNITION METHOD OF THE SAME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VEHICLE AND OBJECT RECOGNITION METHOD OF THE SAME - 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
- 1.9.1 Unanswered Questions
- 1.9.2 How does this technology handle different weather conditions that may affect the visibility of warning lights on emergency vehicles?
- 1.9.3 What is the accuracy rate of the object recognition method in identifying emergency vehicles with warning lights in real-world scenarios?
- 1.10 Original Abstract Submitted
VEHICLE AND OBJECT RECOGNITION METHOD OF THE SAME
Organization Name
Inventor(s)
Jinsol Kim of Hwaseong-Si (KR)
Jongin Son of Gwangmyeong-si (KR)
VEHICLE AND OBJECT RECOGNITION METHOD OF THE SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104937 titled 'VEHICLE AND OBJECT RECOGNITION METHOD OF THE SAME
Simplified Explanation
The abstract of the patent application describes a method for recognizing objects, specifically emergency vehicles with warning lights, in video recordings around a vehicle.
- Object recognition method for emergency vehicles with warning lights
- First recognition of warning light state using a single frame of video
- Second recognition of warning light state using another single frame of video
- Third recognition of warning light state based on results from the first two recognitions in consecutive frames of video
Potential Applications
This technology could be applied in various fields such as:
- Traffic management systems
- Emergency response systems
- Autonomous vehicles
Problems Solved
This technology helps in:
- Improving safety on the roads by quickly identifying emergency vehicles
- Enhancing the efficiency of emergency response systems
- Providing valuable data for autonomous vehicles to navigate effectively
Benefits
The benefits of this technology include:
- Faster response times for emergency vehicles
- Reduced accidents involving emergency vehicles
- Enhanced situational awareness for drivers
Potential Commercial Applications
This technology could be commercially applied in:
- Vehicle manufacturing industry
- Traffic management companies
- Emergency services providers
Possible Prior Art
One possible prior art could be the use of computer vision algorithms for object recognition in video recordings, but the specific application for recognizing warning lights on emergency vehicles may be novel.
Unanswered Questions
How does this technology handle different weather conditions that may affect the visibility of warning lights on emergency vehicles?
The patent application does not provide information on how the object recognition method adjusts for varying weather conditions that could impact the visibility of warning lights on emergency vehicles.
What is the accuracy rate of the object recognition method in identifying emergency vehicles with warning lights in real-world scenarios?
The patent application does not mention the accuracy rate of the object recognition method in practical settings, which could be crucial for assessing its reliability and effectiveness.
Original Abstract Submitted
vehicle and an object recognition method of the vehicle are disclosed. an object recognition method of a vehicle includes performing an object recognition of an emergency vehicle equipped with a warning light in a video recorded around the vehicle, performing a first warning light state recognition of the warning light by using a single frame of the video, performing a second warning light state recognition of the warning light by using a single frame of the video, and performing a third warning light state recognition based on a first result of the first warning light state recognition and a second result of the second warning light state recognition in a plurality of consecutive frames of the video.
