TL;DR
Representative coordination and formation scenarios further show that the platform can support scalable multi-BAUV algorithm development and performance evaluation and show close agreement between the modified and original models.
This paper presents MAVES (Matlab Aerial Vehicle Simulator), a nonlinear reduced-order simulation environment for analyzing and testing planar vertical take-off and landing (VTOL) dynamics. The simulator models rigid-body dynamics including thrust-coupled translational and rotational motion, first-order motor dynamics,...
A custom high-fidelity vehicle dynamics simulation environment for testing and validation of Autonomous Racing software and a calibration procedure based on experimental data is presented, along with a validation study to further support the quality of the proposed framework.
This paper proposes a computational and experimental methodology to evaluate how a surface-towed radio communication float, equipped with a control post, affects the steady-state motion parameters of an autonomous underwater vehicle. This method evaluates communication cable end tension as a function of the vehicle's d...
The proliferation of simulation environments has accelerated technological progress across various scientific domains by offering a cost-effective and time-efficient framework for data acquisition and analysis. In the automotive sector, high-fidelity modelling of vehicle components and driving scenarios bypasses the lo...
Horizontal curves are often associated with roadway crashes because of speed misjudgment and loss of control. With the growing adoption of connected and autonomous vehicles (CAVs), the accurate estimation of safe speed at curves is becoming increasingly important. The widely used AASHTO design method for safe curve spe...
The results demonstrate the feasibility of an open-source, bidirectionally coupled VILS platform for quantitative vehicle-level digital-twin testing.
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