17455374. MISBEHAVIOR DETECTION USING SENSOR SHARING AND COLLECTIVE PERCEPTION simplified abstract (QUALCOMM Incorporated)
MISBEHAVIOR DETECTION USING SENSOR SHARING AND COLLECTIVE PERCEPTION
Organization Name
Inventor(s)
Soumya Das of San Diego CA (US)
Mohammad Nekoui of San Diego CA (US)
Jonathan Petit of Wenham MA (US)
Dan Vassilovski of Del Mar CA (US)
MISBEHAVIOR DETECTION USING SENSOR SHARING AND COLLECTIVE PERCEPTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17455374 titled 'MISBEHAVIOR DETECTION USING SENSOR SHARING AND COLLECTIVE PERCEPTION
Simplified Explanation
The patent application describes systems and techniques for validating object detection.
- The apparatus receives a message from a wireless device containing object data.
- The object data represents objects reported by the wireless device within the apparatus's field-of-view.
- Based on the object data, the apparatus determines if the wireless device has misreported any of the objects.
Potential Applications
This technology can have various applications in different fields, including:
- Surveillance systems: Validating object detection in security cameras or monitoring devices.
- Autonomous vehicles: Verifying the accuracy of object detection systems in self-driving cars.
- Robotics: Ensuring the reliability of object detection in robots for tasks like object manipulation or navigation.
Problems Solved
The technology addresses the following problems:
- Inaccurate object detection: Detecting and correcting misreported objects by wireless devices.
- Reliability issues: Ensuring the trustworthiness of object data received from wireless devices.
- False alarms: Reducing false positive detections by validating the reported objects.
Benefits
The technology offers several benefits, such as:
- Improved accuracy: Validating object detection helps eliminate misreported objects, leading to more reliable results.
- Enhanced security: By validating object data, the technology reduces the risk of false alarms and improves surveillance systems' effectiveness.
- Increased trust: Users can have confidence in the object detection capabilities of wireless devices, enhancing their overall utility.
Original Abstract Submitted
Systems and techniques are described for validating object detection. For example, an apparatus can receive a message from a wireless device. The message includes object data corresponding to one or more objects reported by the wireless device to be within a field-of-view of the apparatus. The apparatus can further determine, based on the object data, whether the wireless device has misreported at least one of the one or more objects.
