18243401. VEHICLE FRONT RECOGNITION APPARATUS AND VEHICLE CONTROL UNIT simplified abstract (SUBARU CORPORATION)
Contents
- 1 VEHICLE FRONT RECOGNITION APPARATUS AND VEHICLE CONTROL UNIT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VEHICLE FRONT RECOGNITION APPARATUS AND VEHICLE CONTROL UNIT - 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 the feeling-of-strangeness area verifier determine if the vehicle can pass through the identified areas of concern?
- 1.9.3 What measures are in place to ensure the accuracy and reliability of the information provided by the vehicle front recognition apparatus?
- 1.10 Original Abstract Submitted
VEHICLE FRONT RECOGNITION APPARATUS AND VEHICLE CONTROL UNIT
Organization Name
Inventor(s)
Hiroaki Kuramochi of Tokyo (JP)
Kazuyuki Takahashi of Tokyo (JP)
VEHICLE FRONT RECOGNITION APPARATUS AND VEHICLE CONTROL UNIT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18243401 titled 'VEHICLE FRONT RECOGNITION APPARATUS AND VEHICLE CONTROL UNIT
Simplified Explanation
The vehicle front recognition apparatus described in the patent application is a system that uses an imager to capture images of the environment ahead of a vehicle, analyzes these images with artificial intelligence to identify objects, and acquires high-precision map information to supplement the analysis. It also includes a feeling-of-strangeness area extractor to identify areas of potential concern, a feeling-of-strangeness area verifier to determine if the vehicle can pass through these areas, and a notifier to alert the driver if the vehicle cannot pass through.
- Imager captures images of the environment ahead of the vehicle
- Image analyzer uses artificial intelligence to identify objects in the images
- Road information acquirer supplements the analysis with high-precision map information
- Feeling-of-strangeness area extractor identifies areas of potential concern
- Feeling-of-strangeness area verifier determines if the vehicle can pass through these areas
- Notifier alerts the driver if the vehicle cannot pass through
Potential Applications
This technology can be applied in autonomous vehicles, advanced driver assistance systems, and road safety applications.
Problems Solved
This technology helps in identifying potential obstacles or hazards on the road, improving driver awareness and safety.
Benefits
The system enhances the overall safety of the vehicle by providing real-time information about the road ahead and potential obstacles.
Potential Commercial Applications
This technology can be utilized by automotive manufacturers, technology companies, and transportation agencies to improve road safety and enhance driver assistance systems.
Possible Prior Art
One possible prior art for this technology could be existing image recognition systems used in autonomous vehicles or driver assistance systems.
Unanswered Questions
How does the feeling-of-strangeness area verifier determine if the vehicle can pass through the identified areas of concern?
The feeling-of-strangeness area verifier likely uses a combination of data analysis, object recognition, and road information to assess the feasibility of the vehicle passing through the identified areas.
What measures are in place to ensure the accuracy and reliability of the information provided by the vehicle front recognition apparatus?
The system likely undergoes rigorous testing, validation, and calibration to ensure that the information provided is accurate and reliable for real-world applications.
Original Abstract Submitted
A vehicle front recognition apparatus includes an imager that captures an image of an environment ahead of a vehicle on the road, an image analyzer that analyzes the image of the environment with artificial intelligence to segment the image areas of the image by classes to which objects captured in the image belong, and a road information acquirer that acquires high-precision map information ahead of the vehicle. The vehicle front recognition apparatus acquires dynamic information that is not included in the high-precision map information from the classes. The image analyzer includes a feeling-of-strangeness area extractor extracting a feeling-of-strangeness area using the classes from the image areas. The vehicle front recognition apparatus further includes a feeling-of-strangeness area verifier that verifies whether the vehicle can pass through the feeling-of-strangeness area and a notifier that notifies a driver when the vehicle cannot pass through the feeling-of-strangeness area.
