METHOD AND SYSTEM FOR VEHICLE DAMAGE DETECTION

Organization Name

robert bosch gmbh

Inventor(s)

Tome Silva of Braga (PT)

Afonso Costa of Braga (PT)

Ana Carolina Silva of Braga (PT)

Andre Ferreira of Braga (PT)

Bruno Faria of Braga (PT)

Carolina Goncalves of Braga (PT)

Joao Sa of Braga (PT)

Joao Fernandes of Braga (PT)

Pedro Cunha of Braga (PT)

Pedro Silva of Braga (PT)

Rita Pereira of Braga (PT)

METHOD AND SYSTEM FOR VEHICLE DAMAGE DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240247976 titled 'METHOD AND SYSTEM FOR VEHICLE DAMAGE DETECTION

The abstract describes a computer-implemented method for detecting transient events, such as damage or contact events, to a vehicle using sound and vibration signals.

Acquiring a sound signal over time using an audio sensor on the vehicle to capture air-borne sound waves.
Acquiring a vibration signal over time using a motion sensor on the vehicle to capture vehicle vibration.
Detecting if the acquired sound signal or vibration signal is above predetermined thresholds.
Converting the sound and vibration signals into an input data record.
Obtaining an input feature record from the input data record.
Using a pretrained machine-learning model with the input feature record to predict transient events.

Potential Applications: - Vehicle safety and maintenance systems - Insurance claim processing - Fleet management and monitoring

Problems Solved: - Early detection of damage or contact events to vehicles - Improved vehicle maintenance and safety measures

Benefits: - Enhances vehicle safety and maintenance procedures - Reduces the risk of accidents and costly repairs - Streamlines insurance claim processes

Commercial Applications: Title: "Vehicle Transient Event Detection System" This technology can be utilized by automotive companies, insurance providers, and fleet management companies to improve vehicle safety, maintenance, and overall operational efficiency.

Questions about Vehicle Transient Event Detection System: 1. How does this technology contribute to overall vehicle safety?

  This technology enhances vehicle safety by detecting potential damage or contact events early, allowing for timely maintenance and repairs.

2. What are the key advantages of using a machine-learning model for predicting transient events in vehicles?

  Using a machine-learning model enables accurate and efficient prediction of transient events based on input features derived from sound and vibration signals.

Original Abstract Submitted

a computer-implemented method for detecting at least a transient event, which is a damage and/or a contact event to a vehicle. the method includes: acquiring a sound signal over time by an audio sensor mounted on the vehicle to capture air-borne sound waves; acquiring at least a vibration signal over time by a motion sensor mounted on the vehicle to capture vehicle vibration; detecting if the acquired sound signal is above a predetermined sound threshold and/or acquired vibration signal is above a predetermined vibration threshold; converting the acquired sound signal and the vibration signal into an input data record; obtaining an input feature record from the input data record; feeding a pretrained machine-learning model with the input feature record to provide a transient event prediction output, wherein the pretrained model has been pretrained with a training dataset comprising input feature training records and event output training records.