17819124. SYSTEMS AND METHODS FOR TRANSFORMING AUTONOMOUS AERIAL VEHICLE SENSOR DATA BETWEEN PLATFORMS simplified abstract (Ford Global Technologies, LLC)
Contents
SYSTEMS AND METHODS FOR TRANSFORMING AUTONOMOUS AERIAL VEHICLE SENSOR DATA BETWEEN PLATFORMS
Organization Name
Inventor(s)
Steven Chao of San Francisco CA (US)
Ganesh Kumar of Santa Clara CA (US)
Apurbaa Mallik of Santa Clara CA (US)
SYSTEMS AND METHODS FOR TRANSFORMING AUTONOMOUS AERIAL VEHICLE SENSOR DATA BETWEEN PLATFORMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17819124 titled 'SYSTEMS AND METHODS FOR TRANSFORMING AUTONOMOUS AERIAL VEHICLE SENSOR DATA BETWEEN PLATFORMS
Simplified Explanation
The abstract describes systems and methods for transforming autonomous aerial vehicle sensor data between platforms.
- Receiving vehicle radar data and radar calibration data from a vehicle by an UAV
- Determining a simulated UAV at the location of the vehicle
- Establishing an orientation for a simulated radar on the bottom of the simulated UAV
- Determining a height for the simulated UAV to match the field of view of the simulated radar
- Performing a geometrical transformation to convert the vehicle radar data set into a UAV perspective
- Converting the vehicle radar data into a vehicle coordinate frame using the radar calibration and vehicle GPS coordinates
- Converting the vehicle coordinate frame into a UAV coordinate frame using UAV GPS coordinates
- Converting the UAV coordinate frame into simulated radar sensor frame
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- Potential Applications
- Autonomous aerial vehicle navigation and surveillance
- Remote sensing and monitoring in various industries such as agriculture, infrastructure inspection, and disaster response
- Problems Solved
- Integration of vehicle radar data into UAV systems
- Transformation of sensor data between different platforms
- Ensuring accurate and reliable data interpretation for UAV operations
- Benefits
- Improved situational awareness for UAV operators
- Enhanced data analysis and decision-making capabilities
- Increased efficiency and effectiveness of UAV missions
Original Abstract Submitted
Systems and methods for transforming autonomous aerial vehicle sensor data between platforms are disclosed herein. An example method can include receiving, by an UAV, vehicle radar data and radar calibration data from a vehicle, as well as location information for a location of the vehicle, determining a simulated UAV at the location, establishing an orientation for a simulated radar on a bottom of the simulated UAV, determining a height for the simulated UAV to match a field of view of the simulated radar, performing a geometrical transformation to convert the vehicle radar data set into a UAV perspective, converting the vehicle radar data into a vehicle coordinate frame using the radar calibration using vehicle global positioning system (GPS) coordinates, converting the vehicle coordinate frame from a global frame into a UAV coordinate frame using UAV GPS coordinates, and converting the UAV coordinate frame into simulated radar sensor frame.
