17967813. CUSTOMIZABLE ABNORMAL DRIVING DETECTION simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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CUSTOMIZABLE ABNORMAL DRIVING DETECTION

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Seyhan Ucar of Mountain View CA (US)

Emrah Akin Sisbot of Mountain View CA (US)

Tomohiro Matsuda of Mountain View CA (US)

Kentaro Oguchi of Mountain View CA (US)

CUSTOMIZABLE ABNORMAL DRIVING DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17967813 titled 'CUSTOMIZABLE ABNORMAL DRIVING DETECTION

Simplified Explanation

The disclosure pertains to a system that can detect abnormal driving behavior in a target vehicle, generate notifications when the abnormal driving exceeds a set threshold, and adjust notification thresholds based on the reactions of the ego vehicle and/or driver.

  • Memory and processor system
  • Detect abnormal driving behavior
  • Generate notifications
  • Adjust notification thresholds
  • Based on reactions of ego vehicle and/or driver

Potential Applications

This technology could be applied in various industries such as:

  • Automotive safety
  • Fleet management
  • Insurance telematics

Problems Solved

This technology addresses the following issues:

  • Early detection of abnormal driving behavior
  • Customizable notification thresholds
  • Real-time monitoring of driving behavior

Benefits

The benefits of this technology include:

  • Improved road safety
  • Enhanced driver awareness
  • Reduced risk of accidents

Potential Commercial Applications

A potential commercial application of this technology could be:

  • "Enhancing Automotive Safety with Abnormal Driving Detection System"

Possible Prior Art

One possible prior art for this technology could be:

  • Early warning systems for driver fatigue detection

What is the accuracy rate of the abnormal driving detection system?

The accuracy rate of the system in detecting abnormal driving behavior is not explicitly mentioned in the abstract. Further details or testing results would be needed to determine the accuracy rate.

How does the system adjust notification thresholds based on the reactions of the ego vehicle and/or driver inputs?

The abstract mentions that the system monitors the ego vehicle and/or driver to alter notification threshold values based on their reactions. However, the specific mechanism or criteria for adjusting these thresholds is not elaborated on. Further information on the process of adjustment would be required to understand this aspect of the technology better.


Original Abstract Submitted

The disclosure generally relates to a system comprising a memory and a processor configured to access the memory and execute the machine-executable instructions stored on the memory to determine that a target vehicle is engaging in an abnormal driving, determine that the abnormal driving exceeds a notification threshold parameter of an abnormal driving notification system, generate a notification, and monitor the ego vehicle and/or driver to alter notification threshold values based on the reactions of the ego vehicle and/or driver inputs.