18488164. LIGHT STATE RECOGNITION DEVICE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
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 18488164 titled 'LIGHT STATE RECOGNITION DEVICE
The patent application describes a device that can recognize the light states of traffic lights based on captured images.
- Determination unit identifies the light states of two traffic lights in different processing cycles.
- Estimation unit predicts the current light state of a traffic light if part of it is not captured in the image.
- The device uses past and current processing cycles to estimate the current light state accurately.
Potential Applications: - Traffic management systems - Autonomous vehicles - Road safety technology
Problems Solved: - Accurately determining the light states of traffic lights in varying conditions. - Enhancing the efficiency of traffic flow and safety measures.
Benefits: - Improved accuracy in recognizing traffic light states. - Enhanced safety on the roads. - Potential for integration into autonomous vehicles for better decision-making.
Commercial Applications: Title: Advanced Traffic Light Recognition System for Autonomous Vehicles This technology can be utilized in autonomous vehicles, traffic control systems, and smart city infrastructure, leading to safer roads and more efficient traffic management.
Prior Art: Further research can be conducted in the field of computer vision, image processing, and artificial intelligence to explore similar technologies for traffic light recognition systems.
Frequently Updated Research: Stay updated on advancements in computer vision algorithms, image processing techniques, and AI models for real-time traffic light recognition systems.
Questions about Traffic Light Recognition Systems: 1. How does this technology improve road safety? - This technology enhances road safety by accurately recognizing traffic light states, reducing the risk of accidents caused by human error. 2. What are the potential challenges in implementing this system in real-world scenarios? - Challenges may include varying lighting conditions, occlusions, and the need for robust algorithms to handle complex traffic situations.
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.
