Drone Flight Simulation Bridge for Lidar and Complex Environments
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Solution Overview
Problem
Existing drone simulators lack comprehensive features for simulating complex environments and sensor integrations, particularly lacking support for lidar data, which hinders developers in creating advanced algorithms and testing them in a simulated environment.
Innovation Solution
Integrate a Drone Custom Simulator (DCS) with a Universal Open Simulator (UOS) like Microsoft AirSim, using a software-based bridge to facilitate information exchange, enabling simulation of external sensors and creation of custom environments, thereby providing a realistic simulation environment that mirrors real-world conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a vendor-specific drone simulator is used, then the simulator is easy to operate and provides basic flight simulation, but it lacks support for advanced sensors like lidar and cannot simulate complex environments
Solution Approach 1:
The patent combines a vendor-specific drone simulator (providing ease of operation) with a general-purpose simulator like AirSim (providing advanced sensor support) into a unified simulation system. The vendor simulator handles flight dynamics and basic operations, while the general-purpose simulator provides lidar, camera, and environmental simulation capabilities through integration.
2Adaptability or versatility
If a general-purpose simulator like AirSim is used, then support for advanced sensors and custom environments is provided, but the system becomes more complex and less intuitive for basic operations
Solution Approach 1:
The simulation system is segmented into distinct functional modules: a vendor-specific simulator module handling flight dynamics and basic operations, and a general-purpose simulator module providing advanced sensor and environmental simulation. Each module operates independently but communicates through standardized interfaces, reducing overall system complexity while maintaining versatility.
3Reliability
If the drone simulator is used for basic flight training, then safety is improved by preventing real drone activation, but the ability to test advanced algorithms and complex navigation is limited
Solution Approach 1:
The integrated simulation system serves multiple functions: it provides safe basic flight training by preventing real drone activation (maintaining reliability), while simultaneously enabling advanced algorithm testing through lidar simulation, complex environment creation, and custom scenario design (enhancing adaptability).
Data Source
AI summary
The techniques presented relate to a simulation system that integrates a Drone Custom Simulator (DCS), which emulates native autopilot logic and physics, with a Universal Open Simulator (UOS), to provide a comprehensive virtual drone flight environment. The solution includes a software-based bridge to facilitate information exchange between the DCS and the UOS, enabling the simulation of external sensors and the creation of custom environments. The DCS offers a basic simulation for training and testing purposes, while the UOS provides a platform for designing complex scenarios with complex environments and sensor simulations. This simulation environment is beneficial for pilots, developers, and testers, allowing them to safely and effectively test drone behavior, control programs, and software algorithms in a controlled virtual space that closely mirrors real-world conditions. The system provides for the testing of manual and autonomous flight, with the option to transition seamlessly to real-world drone operation after testing is completed.