18597418. VEHICLE TRAVELING CONTROL APPARATUS simplified abstract (SUBARU CORPORATION)

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VEHICLE TRAVELING CONTROL APPARATUS

Organization Name

SUBARU CORPORATION

Inventor(s)

Masato Mizoguchi of Tokyo (JP)

Hajime Oyama of Tokyo (JP)

VEHICLE TRAVELING CONTROL APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18597418 titled 'VEHICLE TRAVELING CONTROL APPARATUS

The vehicle traveling control apparatus described in the abstract includes an in-vehicle camera, a processor, and a memory. The in-vehicle camera captures images of traffic signals outside the vehicle, while the processor executes traffic signal stop control based on the captured images.

  • In-vehicle camera performs imaging to capture traffic signal images
  • Processor executes traffic signal stop control
  • Detection region set in captured image for reference object extraction
  • Information on reference object recorded in memory
  • Adjustment of detection region based on differences in reference object

Potential Applications: - Enhanced safety features in vehicles - Improved traffic signal recognition technology - Integration with autonomous driving systems

Problems Solved: - Enhances driver awareness of traffic signals - Improves accuracy of traffic signal detection - Increases overall road safety

Benefits: - Reduces the risk of accidents at intersections - Enhances driver confidence in traffic signal recognition - Contributes to the development of autonomous driving technology

Commercial Applications: Title: Advanced Traffic Signal Recognition System for Vehicles This technology can be utilized in the automotive industry for the development of advanced driver assistance systems (ADAS) and autonomous vehicles. It can also be integrated into traffic management systems to improve overall traffic flow and safety.

Prior Art: Prior art related to this technology may include patents or research papers on traffic signal recognition systems, image processing algorithms for vehicle safety, and advancements in autonomous driving technology.

Frequently Updated Research: Researchers are continually exploring ways to enhance the accuracy and efficiency of traffic signal recognition systems in vehicles. Stay updated on the latest developments in image processing, machine learning, and computer vision technologies related to this field.

Questions about Traffic Signal Recognition Systems: 1. How does this technology improve driver safety at intersections? This technology enhances driver awareness of traffic signals and reduces the risk of accidents by accurately detecting and interpreting traffic signals. 2. What are the potential challenges in implementing this system in different driving environments? Implementing this system in various driving environments may require adjustments for different lighting conditions, traffic patterns, and road layouts to ensure optimal performance.


Original Abstract Submitted

A vehicle traveling control apparatus includes an in-vehicle camera, a processor, and a memory. The in-vehicle camera performs imaging to obtain a captured image of a traffic signal outside the vehicle. The processor executes a traffic signal stop control. The processor sets a detection region in the captured image, and extracts information on a reference object in the captured image and records the information in the memory. The detection region is adapted to a detection of a green lighting state of the traffic signal in the captured image. The captured image is obtained by the in-vehicle camera in the vehicle when the vehicle is stopped. The processor performs an adjustment of the detection region based on a difference between the reference object in the captured image after the setting of the detection range and the reference object in the captured image recorded in the memory.