VEHICLE DATA SHARING FOR COORDINATED ROBOT ACTIONS

Smart overview of the Invention

An integrated unmanned aerial system combines a vehicle and an unmanned aerial vehicle (UAV), such as a drone, designed for coordinated movement. The vehicle is equipped with a processor that gathers telemetry information and user inputs, transmitting this data to the UAV. The UAV utilizes its own processor to analyze the received information to predict vehicle movements and adjust its own actions accordingly, enhancing the collaboration between the two units.

Applications of UAVs in Various Industries

UAVs are increasingly utilized across multiple sectors, including transportation, agriculture, and security. Their role in the automotive industry is particularly noteworthy, where drones are employed to capture images and videos of moving vehicles. Effective coordination between the vehicle and drone is essential for these tasks, ensuring that both can operate seamlessly without manual intervention.

Challenges with Conventional Approaches

Existing methods for coordinating vehicle and drone movements often rely on manual controls, such as handheld devices or Ground Control Stations (GCS). These approaches can lead to human error and require additional hardware, which complicates the system and may increase the weight of the vehicle. The need for innovative solutions that simplify this process is evident.

Functionality of the Integrated System

The disclosed system allows the UAV to autonomously follow the vehicle while capturing images or videos based on user-defined parameters. The vehicle transmits critical data like steering angles and pedal positions to enable the drone to predict its movements accurately. This collaboration eliminates the need for extra sensors and reduces manual control requirements.

User Interaction and Control Mechanisms

The system facilitates user interaction through a vehicle infotainment system or paired devices, allowing users to launch the drone and specify flight paths. The vehicle assesses conditions such as location restrictions before launching the drone. Additionally, it can provide real-time landing instructions, ensuring safe operation throughout the drone's flight cycle.