18469072. DRIVING SUPPORT METHOD AND DRIVING SUPPORT DEVICE FOR VEHICLE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
DRIVING SUPPORT METHOD AND DRIVING SUPPORT DEVICE FOR VEHICLE
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
DRIVING SUPPORT METHOD AND DRIVING SUPPORT DEVICE FOR VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18469072 titled 'DRIVING SUPPORT METHOD AND DRIVING SUPPORT DEVICE FOR VEHICLE
Simplified Explanation: The patent application involves obtaining information about the driving environment and factors influencing the driver's behavior to learn the driver's driving tendencies. Based on this learning, the driver's receptivity to driving support control is estimated, and the control is executed accordingly.
Key Features and Innovation:
- Obtaining information about the driving environment and factors influencing driving behavior
- Learning the driver's driving tendencies
- Estimating the driver's receptivity to driving support control
- Executing driving support control based on the estimated acceptability
Potential Applications: This technology could be applied in the development of advanced driver assistance systems, autonomous vehicles, and smart transportation systems.
Problems Solved: This technology addresses the challenge of accurately predicting a driver's receptivity to driving support control, enhancing the effectiveness and safety of such systems.
Benefits:
- Improved driving support control systems
- Enhanced safety on the roads
- Better adaptation to individual driver behavior
Commercial Applications: The technology could be utilized by automotive manufacturers, technology companies, and transportation authorities to enhance the capabilities of their vehicles and systems.
Prior Art: Readers interested in exploring prior art related to this technology may look into research on driver behavior analysis, intelligent transportation systems, and vehicle automation.
Frequently Updated Research: Researchers in the field are constantly working on improving driver assistance systems, integrating artificial intelligence for better decision-making, and enhancing the overall driving experience.
Questions about the Technology: 1. How does this technology contribute to the development of autonomous vehicles? 2. What are the potential implications of this technology on road safety and traffic management?
Original Abstract Submitted
Information about the driving environment of the vehicle and information about factors influencing the driving behavior of the vehicle by the driver of the vehicle are obtained. A tendency of the driver's driving behavior is learned based on the information about the driving environment and the information about the factors. Based on the learned tendency of driving behavior, the driver's receptivity to the execution of driving support control of the vehicle is estimated. The driving support control is executed according to the estimated acceptability when the conditions for executing the driving support control are satisfied.
