TOYOTA JIDOSHA KABUSHIKI KAISHA (20240253645). ABNORMALITY DETECTION SYSTEM AND ABNORMALITY DETECTION METHOD simplified abstract
Contents
ABNORMALITY DETECTION SYSTEM AND ABNORMALITY DETECTION METHOD
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Yusuke Hayashi of Atsugi-shi Kanagawa-Ken (JP)
Taichi Kawanai of Susono-shi Shizuoka-Ken (JP)
Daichi Hotta of Meguro-ku Tokyo-to (JP)
ABNORMALITY DETECTION SYSTEM AND ABNORMALITY DETECTION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240253645 titled 'ABNORMALITY DETECTION SYSTEM AND ABNORMALITY DETECTION METHOD
Simplified Explanation: The patent application describes an abnormality detection system for autonomous driving vehicles. This system compares the travel plan of the target vehicle with the travel record of a reference vehicle to detect abnormalities in the autonomous driving system.
- The abnormality detection system stores travel plan information and reference travel information.
- It calculates the deviation between the target vehicle's travel plan and the reference vehicle's travel record at each determination position.
- Abnormal positions, where the deviation exceeds a threshold, are identified as potential abnormalities in the autonomous driving system.
- This system can detect abnormalities independently of the recognition performance of the autonomous driving system.
Key Features and Innovation:
- Comparison of travel plans and travel records for abnormality detection.
- Calculation of deviations at determination positions.
- Threshold-based identification of abnormal positions.
- Independent detection of abnormalities in the autonomous driving system.
Potential Applications: This technology can be applied in various autonomous driving systems to enhance safety and reliability by detecting abnormalities in the system's operation.
Problems Solved:
- Detection of abnormalities in autonomous driving systems.
- Improving the overall safety and performance of autonomous vehicles.
Benefits:
- Enhanced safety for autonomous driving vehicles.
- Early detection of abnormalities for timely maintenance and intervention.
Commercial Applications: The technology can be utilized by autonomous vehicle manufacturers, transportation companies, and fleet operators to ensure the safe and efficient operation of autonomous driving systems.
Prior Art: Readers can explore prior patents related to abnormality detection systems in autonomous vehicles to understand the evolution of this technology.
Frequently Updated Research: Stay informed about the latest advancements in abnormality detection systems for autonomous driving vehicles to incorporate cutting-edge features into existing systems.
Questions about Abnormality Detection Systems in Autonomous Driving Vehicles: 1. How does the abnormality detection system differentiate between minor deviations and significant abnormalities? 2. What measures are in place to ensure the accuracy and reliability of abnormality detection in autonomous driving systems?
Original Abstract Submitted
an abnormality detection system is applied to an autonomous driving system of a target vehicle. the abnormality detection system stores travel plan information and reference travel information. the travel plan information and the reference travel information indicate a travel plan of the target vehicle and a travel record of a reference vehicle different from the target vehicle, respectively. the abnormality detection system calculates a deviation between the travel plan of the target vehicle and the travel record of the reference vehicle for each determination position based on the travel plan information and the reference travel information. the abnormality detection system extracts the determination position at which the deviation exceeds a threshold as an abnormal position related to an abnormality of the autonomous driving system. the abnormality detection system enables to appropriately detect the abnormality of the autonomous driving system independently of the recognition performance of the autonomous driving system.
