18432791. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (Honda Motor Co., Ltd.)
Contents
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Takeshi Kibayashi of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18432791 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation: The patent application describes a system that captures images of a vehicle's advancing direction at different times to analyze the periodicity of light emitted by a light source in a preceding vehicle. This analysis helps identify the type of light source present.
- The obtaining unit captures images of a vehicle's advancing direction at different times.
- The setting unit identifies and sets a partial area containing a light source in a preceding vehicle based on the captured images.
- The evaluating unit assesses the periodicity of light emission from the light source in multiple images.
- The identifying unit determines the type of light source based on the periodicity analysis.
Potential Applications: This technology can be used in automotive safety systems to identify and analyze the lighting patterns of vehicles on the road. It can also be applied in traffic management systems to improve visibility and enhance road safety.
Problems Solved: - Identifying and analyzing light sources in preceding vehicles. - Understanding the periodicity of light emission for different types of light sources. - Enhancing safety measures by analyzing lighting patterns on the road.
Benefits: - Improved road safety through better understanding of lighting patterns. - Enhanced visibility for drivers in varying lighting conditions. - Potential for developing advanced automotive safety systems.
Commercial Applications: The technology can be utilized in the development of smart headlights, adaptive lighting systems, and autonomous driving technologies. It has implications for the automotive industry, road infrastructure development, and traffic management systems.
Questions about the Technology: 1. How does the system differentiate between different types of light sources based on periodicity analysis? 2. What are the potential implications of this technology for autonomous vehicles and smart lighting systems?
Frequently Updated Research: Ongoing research in this field focuses on improving the accuracy and efficiency of identifying and analyzing different types of light sources in varying road conditions. Researchers are also exploring the integration of this technology into advanced driver assistance systems (ADAS) for enhanced safety features.
Original Abstract Submitted
An obtaining unit obtains a first image in which an advancing direction of a vehicle is captured and a second image in which the advancing direction of the vehicle is captured at a time different from a time when the first image is captured. A setting unit sets a partial area including a light source provided in a preceding vehicle that precedes the vehicle in an image in which the advancing direction of the vehicle is captured, based on the first image and the second image. An evaluating unit evaluates periodicity of light emission of the light source, based on the partial areas in a plurality of images in which the advancing direction of the vehicle is captured. An identifying unit identifies a type of the light source, based on the periodicity.
