17455380. MISBEHAVIOR DETECTION USING SENSOR SHARING AND COLLECTIVE PERCEPTION simplified abstract (QUALCOMM Incorporated)
Contents
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 17455380 titled 'MISBEHAVIOR DETECTION USING SENSOR SHARING AND COLLECTIVE PERCEPTION
Simplified Explanation
Abstract: This patent application describes systems and techniques for validating object detection. It involves an apparatus that obtains sensor data from a vehicle's field-of-view and receives a message from a wireless device. The message includes information about an object in the field-of-view and its reported location. The apparatus then determines if the wireless device has misreported the object based on the sensor data and the message.
Bullet Points:
- Apparatus obtains sensor data from a vehicle's field-of-view
- Apparatus receives a message from a wireless device
- Message includes information about an object in the field-of-view and its reported location
- Apparatus determines if the wireless device has misreported the object
- Determination is based on the sensor data and the message from the wireless device
Potential Applications:
- Autonomous vehicles - Validating object detection in self-driving cars
- Surveillance systems - Verifying object detection in security cameras
- Robotics - Ensuring accurate object detection in robotic systems
Problems Solved:
- Misreporting of objects in a vehicle's field-of-view by wireless devices
- Ensuring the reliability and accuracy of object detection systems
Benefits:
- Improved safety in autonomous vehicles by validating object detection
- Enhanced security in surveillance systems through accurate object detection
- Increased efficiency and reliability in robotic systems by validating object detection
Original Abstract Submitted
Systems and techniques are described for validating object detection. For example, an apparatus can obtain sensor data corresponding to a field-of-view of a vehicle. The apparatus can receive a message from a wireless device. The message includes an indication of at least one object in the field-of-view of the vehicle and a reported location of the at least one object. The apparatus can further determine, based on the sensor data and the message from the wireless device, whether the wireless device has misreported the at least one object.