View source for 18434799. METHOD FOR CLASSIFYING AN OBJECT TO BE DETECTED WITH AT LEAST ONE ULTRASONIC SENSOR simplified abstract (Robert Bosch GmbH)

=METHOD FOR CLASSIFYING AN OBJECT TO BE DETECTED WITH AT LEAST ONE ULTRASONIC SENSOR=


==Organization Name==

[[:Category:Robert Bosch GmbH|Robert Bosch GmbH]]


[[Category:Robert Bosch GmbH]]

==Inventor(s)==

[[:Category:Andre Gerlach of Leonberg-Hoefingen (DE)|Andre Gerlach of Leonberg-Hoefingen (DE)]][[Category:Andre Gerlach of Leonberg-Hoefingen (DE)]]

[[:Category:Jona Eisele of Kornwestheim (DE)|Jona Eisele of Kornwestheim (DE)]][[Category:Jona Eisele of Kornwestheim (DE)]]

==METHOD FOR CLASSIFYING AN OBJECT TO BE DETECTED WITH AT LEAST ONE ULTRASONIC SENSOR - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18434799 titled 'METHOD FOR CLASSIFYING AN OBJECT TO BE DETECTED WITH AT LEAST ONE ULTRASONIC SENSOR

The abstract describes a method for classifying an object using at least one ultrasonic sensor. 

* Transmits a signal to the object and receives a backscattered signal from the object using the ultrasonic sensor.
* Processes the received signal into a digital signal.
* Extracts a relevant and time-limited time segment from the digital signal.
* Transforms the selected signal portion into a two-dimensional feature vector.
* Feeds the feature vector into a neural network for classification.
* Determines the object class information based on the output variable produced by the neural network.

Potential Applications:
- Object detection and classification in various industries such as automotive, robotics, and security systems.

Problems Solved:
- Efficient and accurate classification of objects using ultrasonic sensors.
- Automation of object recognition tasks.

Benefits:
- Improved accuracy in object classification.
- Faster processing of object detection tasks.
- Enhanced automation capabilities in various industries.

Commercial Applications:
- Automotive industry for collision avoidance systems.
- Robotics for object recognition and manipulation.
- Security systems for intruder detection.

Questions about the technology:
1. How does this method compare to traditional object classification techniques?
2. What are the limitations of using ultrasonic sensors for object detection and classification?

Frequently Updated Research:
- Stay updated on advancements in neural network algorithms for object classification.
- Monitor developments in ultrasonic sensor technology for improved accuracy in object detection.


==Original Abstract Submitted==

A method for classifying an object to be detected with at least one ultrasonic sensor. The method includes: transmitting a first signal using the ultrasonic sensor to the object; receiving a second signal using the ultrasonic sensor, wherein the second signal is a backscattered signal from the object; processing the second signal into a digital signal; extracting a selected signal portion from the digital signal, the selected signal portion representing a relevant and time-limited time segment from the digital signal; transforming the selected signal portion into a two-dimensional feature vector; feeding the two-dimensional feature vector into a neural network as at least one input variable; determining object class information for the object using the neural network, wherein, based on the at least one input variable, the neural network produces an output variable which indicates a probability value for at least one defined object class for the one object.



[[Category:G01S7/52]]
[[Category:G01S15/02]]
[[Category:CPC_G01S7/52001]]