TOYOTA JIDOSHA KABUSHIKI KAISHA (20240343265). AUTONOMOUS DRIVING SYSTEM AND CONTROL METHOD FOR VEHICLE simplified abstract
Contents
AUTONOMOUS DRIVING SYSTEM AND CONTROL METHOD FOR VEHICLE
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
AUTONOMOUS DRIVING SYSTEM AND CONTROL METHOD FOR VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240343265 titled 'AUTONOMOUS DRIVING SYSTEM AND CONTROL METHOD FOR VEHICLE
The abstract describes an autonomous driving system that includes a vehicle detection device, a display device, and a processor. The system can detect surrounding vehicles, display them as vehicle icons, control the autonomous driving of the host vehicle, and identify a vehicle necessitating deceleration among the surrounding vehicles.
- The system can control the acceleration and deceleration of the host vehicle to avoid approaching the vehicle necessitating deceleration.
- When multiple surrounding vehicles are detected, the system displays the vehicle icon of the deceleration-necessitating vehicle differently from the other vehicle icons.
- The processor is responsible for managing the display content, controlling the host vehicle's acceleration and deceleration, and highlighting the vehicle necessitating deceleration.
Potential Applications: - Autonomous driving systems in vehicles - Traffic management systems - Fleet management solutions
Problems Solved: - Enhancing safety in autonomous driving by identifying vehicles necessitating deceleration - Improving traffic flow and efficiency on the roads
Benefits: - Increased safety on the roads - Enhanced autonomous driving capabilities - Efficient traffic management
Commercial Applications: Title: Advanced Autonomous Driving System for Enhanced Safety This technology can be utilized by automotive manufacturers, transportation companies, and smart city initiatives to improve road safety and traffic management.
Prior Art: Prior research in autonomous driving systems, vehicle detection technologies, and traffic management solutions can provide insights into similar innovations.
Frequently Updated Research: Stay updated on advancements in autonomous driving technologies, vehicle detection algorithms, and traffic flow optimization strategies to enhance the system's capabilities.
Questions about Autonomous Driving Systems: 1. How does this technology contribute to overall road safety?
- This technology enhances road safety by efficiently managing the acceleration and deceleration of vehicles to avoid potential collisions.
2. What are the key factors influencing the effectiveness of autonomous driving systems?
- Factors such as sensor accuracy, real-time data processing, and decision-making algorithms play a crucial role in the effectiveness of autonomous driving systems.
Original Abstract Submitted
an autonomous driving system includes a vehicle detection device for detecting surrounding vehicles present in surroundings of a host vehicle, a display device for displaying the surrounding vehicles detected by the vehicle detection device as vehicle icons, and a processor configured to control display content of the display device, control autonomous driving of the host vehicle, and set a vehicle necessitating deceleration from among the surrounding vehicles detected by the vehicle detection device. the processor is configured to control acceleration and deceleration of the host vehicle so that the host vehicle does not approach the vehicle necessitating deceleration, and when a plurality of surrounding vehicles detected by the vehicle detection device are displayed on the display device, the processor is configured to display a vehicle icon of the vehicle necessitating deceleration in a display mode different from vehicle icons of remaining surrounding vehicles.
