18434799. METHOD FOR CLASSIFYING AN OBJECT TO BE DETECTED WITH AT LEAST ONE ULTRASONIC SENSOR simplified abstract (Robert Bosch GmbH)
Contents
METHOD FOR CLASSIFYING AN OBJECT TO BE DETECTED WITH AT LEAST ONE ULTRASONIC SENSOR
Organization Name
Inventor(s)
Andre Gerlach of Leonberg-Hoefingen (DE)
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.
