17959066. METHOD FOR IDENTIFYING ABNORMAL DRIVING BEHAVIOR simplified abstract (Huawei Technologies Co., Ltd.)

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METHOD FOR IDENTIFYING ABNORMAL DRIVING BEHAVIOR

Organization Name

Huawei Technologies Co., Ltd.

Inventor(s)

Hongzhan Ma of Shenzhen (CN)

Jiawei Yu of Shenzhen (CN)

Gailiang Wang of Shenzhen (CN)

Jun Jiang of Shenzhen (CN)

METHOD FOR IDENTIFYING ABNORMAL DRIVING BEHAVIOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 17959066 titled 'METHOD FOR IDENTIFYING ABNORMAL DRIVING BEHAVIOR

Simplified Explanation

The patent application describes a method for identifying abnormal driving behavior in automated vehicles. The method involves obtaining vehicle driving behavior data and determining whether the vehicle is exhibiting suspicious abnormal driving behavior. If suspicious behavior is detected, the method further involves obtaining current vehicle driving scenario data and determining whether the abnormal behavior is truly abnormal based on both the driving behavior data and the current driving scenario data.

  • The method improves the accuracy of identifying abnormal driving behavior by incorporating current driving scenario information.
  • The system and vehicle described in the application implement the method for identifying abnormal driving behavior.

Potential Applications

  • Automated driving systems can use this method to detect and respond to abnormal driving behavior, ensuring the safety of passengers and other road users.
  • Fleet management companies can utilize this technology to monitor and analyze the driving behavior of their vehicles, identifying any abnormal patterns that may indicate driver misconduct or vehicle malfunctions.

Problems Solved

  • This technology addresses the challenge of accurately identifying abnormal driving behavior in automated vehicles.
  • It helps in distinguishing between truly abnormal driving behavior and behavior that may be considered abnormal but is actually appropriate for the current driving scenario.

Benefits

  • Improved accuracy in identifying abnormal driving behavior enhances the safety and reliability of automated driving systems.
  • The method allows for real-time detection and response to abnormal driving behavior, minimizing the risk of accidents or incidents.
  • Fleet management companies can use this technology to improve driver training and vehicle maintenance, leading to better overall performance and cost savings.


Original Abstract Submitted

This application relates to the automated driving field, and discloses a method for identifying abnormal driving behavior, a system, and a vehicle including the system. The method for identifying abnormal driving behavior includes: obtaining vehicle driving behavior data, and determining, based on the vehicle driving behavior data, whether a vehicle is in a state of suspicious abnormal driving behavior; obtaining current vehicle driving scenario data if the vehicle is in the state of suspicious abnormal driving behavior; and determining, based on the vehicle driving behavior data and the current vehicle driving scenario data, whether the suspicious abnormal driving behavior is abnormal driving behavior. In the technical solutions of this application, current driving scenario information is introduced to an identification process of abnormal driving behavior of the vehicle, so that accuracy of identifying the abnormal driving behavior is improved.

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