Toyota jidosha kabushiki kaisha (20240221388). LIGHT STATE RECOGNITION DEVICE simplified abstract
Contents
LIGHT STATE RECOGNITION DEVICE
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Hiroki Saito of Sunto-gun (JP)
LIGHT STATE RECOGNITION DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240221388 titled 'LIGHT STATE RECOGNITION DEVICE
The patent application describes a device that can recognize the light states of traffic lights based on captured images.
- The determination unit analyzes the images to determine the light states of the first and second traffic lights.
- The estimation unit predicts the current light state of the first traffic light when part of it is not captured in the image.
- The device uses past and current processing cycles to estimate the light states accurately.
Potential Applications: - Traffic management systems - Autonomous vehicles - Road safety technology
Problems Solved: - Accurately determining the light states of traffic lights - Enhancing the efficiency of traffic flow - Improving safety on the roads
Benefits: - Increased road safety - Enhanced traffic management - Potential for integration with autonomous vehicles
Commercial Applications: Title: "Smart Traffic Light Recognition System for Enhanced Road Safety" This technology can be used in smart cities, transportation systems, and automotive industries to improve traffic flow and safety.
Prior Art: Researchers can explore existing patents related to traffic light recognition systems, image processing, and artificial intelligence in the field of transportation technology.
Frequently Updated Research: Researchers are continually working on improving image recognition algorithms and enhancing the accuracy of traffic light recognition systems.
Questions about Light State Recognition: 1. How does the device differentiate between different light states of traffic lights? The determination unit analyzes the position and color of the lights to determine the specific light state. 2. What factors can affect the accuracy of estimating the current light state of a traffic light? The accuracy can be affected by environmental conditions, image quality, and the speed of the host vehicle.
Original Abstract Submitted
a light state recognition device includes: a determination unit that determines respective light states of first and second traffic lights at predetermined processing cycles, based on an image in which the first traffic light with an arrow light that is on a closer side when viewed from a host vehicle and the second traffic light with an arrow light that is on a further side when viewed from the host vehicle are captured; and an estimation unit that estimates, in a current processing cycle, when at least part of the first traffic light is not captured in the image, a current light state, based on the light state of the first traffic light that is determined by the determination unit in a past processing cycle, and the light state of the second traffic light that is determined by the determination unit in the current processing cycle.
