Simulation and testing | Focus and realistic scenarios easily, including edge cases, simply by entering a textual scenario description. This follows the ASAM OpenSCENARIO standard, so automotive manufacturers and suppliers can simulate and validate autonomous driving systems. Test system The Lidar Target Simulator (LTS) enables manufacturers (of vehicles and sensors) to test and validate Lidar sensors for AVs. It simulates test targets at a defined distance and reflectivity with a compact and standardised bench setup. This is designed to simplify and accelerate the testing, validation and production of automotive Lidar sensors through standardisation and automation. The compact bench setup saves test floor space by simulating target distances from 3-300 m and simulating surface reflectivity from 10-94%, and the test software generates insightful analytics by sweeping target distance and reflectivity, enabling design and performance improvements. The LTS test setup is fully automated using a collaborative robot, or cobot, which provides precise device movement for field-of-view testing, the automation software accelerates testing and throughput to support volume production. Validation Wind tunnels are used to validate computational fluid dynamic (CFD) simulations with real-world data; a key step in the design and testing of uncrewed systems. By comparing simulation results with actual flight data, developers can refine their designs with greater confidence. In-house simulations evaluate loading conditions to ensure probes can withstand the environments that UAV developers meet during testing. This is integral to the development cycle, where testing and simulation work hand-in-hand to validate and finetune designs. This ensures platforms are supported from the earliest stages of development through to production from wind-tunnel testing and test-flight booms to engine inlet testing, enabling companies to streamline the testing and validation process. Incorporating synthetic data into simulations, and combining it with real-world testing, helps to optimise performance while reducing development time and costs. Simulations using thermal analysis, and structural and vibration analyses on the probes show how the components meet the system requirements, loading conditions, and thermal and aerodynamic loading ahead of building the probe. Quantum The next generation of quantum computers is set to provide better performance, opening up more complete system simulation. For example, researchers now estimate that a large-scale, jet engine, computational-fluid dynamics simulation, which took 19.2 million high-performance computing cores using classical algorithms, can be conducted using a quantum computer with 30 logical quantum bits (qubits). These 30 qubit machines are currently in development. After conducting 100,000 experiments, the researchers showed the large-scale CFD simulation of a jet engine can be 45 Uncrewed Systems Technology | October/November 2024 The PHASA-35 has a digital twin to train remote operators (Image courtesy of Aeroprobe) The fourth-generation microdata test system is used on the PHASA-35 (Image courtesy of Aeroprobe) Quantum optimisation of a wing (Image courtesy of BQP)
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