20240020878. METHOD AND DEVICE FOR MONITORING A FIELD OF VIEW OF A STATIONARY SENSOR simplified abstract (Robert Bosch GmbH)

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METHOD AND DEVICE FOR MONITORING A FIELD OF VIEW OF A STATIONARY SENSOR

Organization Name

Robert Bosch GmbH

Inventor(s)

Sebastian Nusser of Hildesheim (DE)

Joachim Boerger of Friedrichshafen (DE)

Matthias Ehm of Hildesheim (DE)

METHOD AND DEVICE FOR MONITORING A FIELD OF VIEW OF A STATIONARY SENSOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020878 titled 'METHOD AND DEVICE FOR MONITORING A FIELD OF VIEW OF A STATIONARY SENSOR

Simplified Explanation

The patent application describes a method and device for monitoring the field of view of a stationary sensor. The method involves receiving recordings of the sensor's surroundings at different times within a predefined measuring time frame. Measuring points, representing positions and/or dimensions of objects in the surroundings, are ascertained based on these recordings. The ascertained measuring points are then grouped using a predefined similarity metric, with each group represented by a prototype. A change of content within the field of view is determined by comparing the prototypes with a reference data set, which includes reference prototypes obtained in a reference state of the sensor and its surroundings.

  • The method and device monitor the field of view of a stationary sensor by analyzing recordings of its surroundings.
  • Measuring points representing positions and dimensions of objects in the surroundings are ascertained based on the recordings.
  • The ascertained measuring points are grouped using a similarity metric, with each group represented by a prototype.
  • Changes in the field of view are determined by comparing the prototypes with a reference data set obtained in a reference state.
  • The technology provides a way to monitor and analyze changes in the field of view of a stationary sensor.

Potential applications of this technology:

  • Surveillance systems: The method and device can be used in surveillance systems to monitor and analyze changes in the field of view, allowing for improved security and threat detection.
  • Traffic monitoring: The technology can be applied to monitor traffic conditions and detect any changes or anomalies in real-time, enabling efficient traffic management and accident prevention.
  • Environmental monitoring: By analyzing the field of view, the method and device can be used to monitor and detect changes in the environment, such as wildlife activity or pollution levels.

Problems solved by this technology:

  • Efficient monitoring: The method and device provide an efficient way to monitor a stationary sensor's field of view by analyzing recordings and ascertaining measuring points, allowing for timely detection of changes.
  • Object recognition: By grouping the measuring points based on similarity, the technology enables accurate object recognition and tracking within the field of view.
  • Reference comparison: The comparison of prototypes with a reference data set allows for the detection of changes in the field of view, providing valuable information for various applications.

Benefits of this technology:

  • Improved security: The technology enhances security systems by monitoring and analyzing the field of view, enabling early detection of potential threats or suspicious activities.
  • Real-time monitoring: The method and device provide real-time monitoring of the field of view, allowing for immediate response to changes or anomalies.
  • Enhanced situational awareness: By analyzing the field of view, the technology provides valuable information about the surroundings, enabling better decision-making and situational awareness.


Original Abstract Submitted

a method and a device for monitoring a field of view of a stationary sensor. the method includes: a first step for receiving recordings of surroundings of the sensor, which are generated at different times within a predefined measuring time frame with the aid of the sensor; a second step for ascertaining, based on the recordings, measuring points, which each represent positions and/or dimensions of objects in the surroundings of the sensor; a third step for grouping the ascertained measuring points based on a predefined similarity metric, where each group of measuring points is represented by a prototype; and a fourth step for ascertaining a change of content within the field of view of the sensor based on a comparison of the prototypes with a reference data set, which includes reference prototypes, whose underlying measuring points are ascertained in a reference state of the sensor and of the surroundings.