Ford global technologies, llc (20240201683). VEHICLE DATA SHARING FOR COORDINATED ROBOT ACTIONS simplified abstract
Contents
VEHICLE DATA SHARING FOR COORDINATED ROBOT ACTIONS
Organization Name
Inventor(s)
James Carthew of Ann Arbor MI (US)
Nelson Alexander Brock of Sebastopol CA (US)
Jeffrey Yizhou Hu of Ann Arbor MI (US)
VEHICLE DATA SHARING FOR COORDINATED ROBOT ACTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240201683 titled 'VEHICLE DATA SHARING FOR COORDINATED ROBOT ACTIONS
Simplified Explanation: The patent application describes a system where a vehicle and an unmanned aerial vehicle (UAV) work together. The vehicle processor collects information from the vehicle and user input, which is then transmitted to the UAV. The UAV receives this information and predicts the vehicle's movement based on it, maneuvering accordingly.
Key Features and Innovation:
- Integration of a vehicle and UAV for coordinated operation.
- Vehicle processor collects telemetry information and user input.
- UAV receiver receives information from the vehicle.
- UAV processor predicts vehicle movement and maneuvers the UAV accordingly.
Potential Applications: This technology could be used in:
- Surveillance and reconnaissance missions.
- Search and rescue operations.
- Monitoring traffic and transportation systems.
Problems Solved:
- Enhances coordination between a vehicle and UAV.
- Improves efficiency in data collection and analysis.
- Enables real-time decision-making based on predictive modeling.
Benefits:
- Increased operational efficiency.
- Enhanced situational awareness.
- Improved response time in critical situations.
Commercial Applications: The technology could be valuable in industries such as:
- Defense and security.
- Emergency services.
- Transportation and logistics.
Questions about Vehicle Integrated Unmanned Aerial System: 1. How does the system ensure seamless communication between the vehicle and UAV? 2. What are the potential challenges in implementing this technology in real-world scenarios?
Frequently Updated Research: Ongoing research in this field focuses on:
- Enhancing the autonomy and decision-making capabilities of UAVs.
- Improving the integration of AI algorithms for predictive modeling in vehicle-UAV systems.
Original Abstract Submitted
a vehicle integrated unmanned aerial system is disclosed. the system may include a vehicle and an unmanned aerial vehicle (uav). the vehicle may include a vehicle processor configured to obtain a vehicle telemetry information from a vehicle telemetry unit and a user input from a vehicle user. further, the vehicle may include a transmitter that may be configured to transmit the vehicle telemetry information and the user input to the uav. the uav may include a uav receiver configured to receive the vehicle telemetry information and the user input. further, the uav may include a uav processor that may be configured to obtain the vehicle telemetry information and the vehicle user from the uav receiver and predict a vehicle movement based on the vehicle telemetry information. the uav processor may be further configured to maneuver the uav based on the predicted vehicle movement and the user input.
