Abnormal Driving Detection With Amplified Driver Alerts
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Solution Overview
Problem
There is a mismatch in the detection of abnormal driving behavior between human drivers and vehicle sensors, where minor anomalies detected by vehicles are often missed by human drivers, leading to potential safety hazards and loss of trust in vehicle systems.
Innovation Solution
A method and system that acquire and analyze sensor data to detect abnormal driving behavior, classify its severity, and present an amplified version of minor abnormal behavior to the human driver through visual, auditory, or haptic means to enhance perception and awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle sensors are used to detect abnormal driving behavior, then detection precision is improved, but human drivers may lose trust in vehicle systems when they cannot perceive the same anomalies
Solution Approach 1:
The patent introduces an intermediary communication system that translates sensor-detected abnormal behaviors into human-perceptible forms. The system acts as a mediator between the vehicle's sensor detection capabilities and human driver perception, converting subtle sensor data into amplified visual, auditory, or haptic notifications that drivers can understand and trust.
Solution Approach 2:
The system changes the parameter of abnormal behavior presentation by amplifying subtle sensor-detected anomalies into more pronounced notifications. Minor swerving detected by sensors is transformed into amplified visual displays or auditory alerts, making the previously imperceptible abnormalities visible and audible to drivers, thereby building trust through enhanced perception.
2Ease of operation
If amplified notifications are presented to human drivers, then ease of operation is improved, but device complexity increases due to additional notification systems
Solution Approach 1:
The patent applies multi-functionality by utilizing existing vehicle notification infrastructure for multiple purposes. The same display screens, speakers, and haptic feedback mechanisms used for standard vehicle information are repurposed to present amplified abnormal behavior notifications, avoiding the need for entirely separate notification systems and reducing overall complexity.
Solution Approach 2:
The system creates simplified copies or representations of the actual abnormal behaviors for driver notification. Instead of requiring drivers to directly sense subtle physical anomalies, the system generates amplified visual copies (display graphics), auditory copies (sound alerts), or haptic copies (vibration patterns) that replicate the essence of the detected abnormality in a more perceptible form.
Data Source
AI summary
Compensation can be made for mismatch in abnormal driving behavior detection between an ego vehicle and its human driver. Sensor data of a surrounding driving environment can be acquired. The acquired sensor data can be analyzed to detect abnormal driving behavior by a vehicle in the surrounding driving environment. Responsive to detecting abnormal driving behavior by the vehicle in the surrounding driving environment, the abnormal driving behavior can be classified as to whether it is severe. If the abnormal driving behavior is classified as not being severe, an amplified version of the abnormal driving behavior can be caused to be presented to the human driver of the ego vehicle.