Software-in-the-Loop simulation for early-stage testing of AUTOSAR software component

Jeong, Sooyong; Kwak, Yongsub; Lee, Woojin

doi:10.1109/icufn.2016.7536980

Cited by 22 publications

(4 citation statements)

References 9 publications

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“…Complex systems require advanced testing and validation methods. Simulation methods such as software-in-the-loop (SITL) [21] play a crucial role in testing and validating control algorithms. Our SITL was fully implemented in a software environment and enabled testing of various scenarios.…”

Section: Drones Swarm In Simulation Environmentmentioning

confidence: 99%

“…Our SITL was fully implemented in a software environment and enabled testing of various scenarios. This approach is particularly useful in the early stages of product development [21] and allows us to understand the fundamental control mechanisms and interactions among swarm units. The use of simulations is a cost-effective approach in the design and implementation of systems.…”

Section: Drones Swarm In Simulation Environmentmentioning

confidence: 99%

“…In this article, we present our research conducted using simulation methods. We used software-in-the-loop (SITL) [21] to study the control mechanisms of drone swarms. The presented simulation methods are essential to determine the impacts of positioning errors, speed variations, and communication delays from the point of view of preserving a specific flight structure within a drone swarm.…”

Section: Introductionmentioning

confidence: 99%

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Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Marek,

Paszkuta,

Szyguła

et al. 2024

Applied Sciences

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In the swiftly advancing field of swarm robotics and unmanned aerial vehicles, precise and effective testing methods are essential. This article explores the crucial role of software-in-the-loop (SITL) simulations in developing, testing, and validating drone swarm control algorithms. Such simulations play a crucial role in reproducing real-world operational scenarios. Additionally, they can (regardless of the type of application) accelerate the development process, reduce operational risks, and ensure the consistent performance of drone swarms. Our study demonstrates that different geometrical arrangements of drone swarms require flexible control strategies. The leader-based control model facilitates coherent movement and enhanced coordination. Addressing various issues such as communication delays and inaccuracies in positioning is essential here. These shortcomings underscore the value of improved approaches to collision avoidance. The research described in this article focused on the dynamics of drone swarms in a simulated context and emphasized their operational efficiency and adaptability in various scenarios. Advanced simulation tools were utilized to analyze the interaction, communication, and adaptability of autonomous units. The presented results indicate that the arrangement of drones significantly affects their coordination and collision avoidance capabilities. They also underscore the importance of control systems that can adapt to various situations. The impact of communication delays and errors in positioning systems on the required distance between drones in a grid structure is also presented. This article assesses the impact of different levels of GPS accuracy and communication delays on the coordination of group movement and collision avoidance capabilities.

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Section: Drones Swarm In Simulation Environmentmentioning

confidence: 99%

Section: Drones Swarm In Simulation Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Marek,

Paszkuta,

Szyguła

et al. 2024

Applied Sciences

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“…Such virtual environment based development of modules leverages the labor and financial costs as well as risky trial-and-error physical experiments. As a result, in almost all sectors dealing with software development, the implementation of SITL simulation is essential [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Effects of Model Specific Parameters on the Development of Custom Module in PX4 Autopilot Software-In-The-Loop

Tullu,

Jung,

Lee

et al. 2023

Preprint

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Software-In-The-Loop (SITL) simulation tools have been extensively used in development of safety-critical software. Utilizing these tools substantially accelerates software development eliminating potential risks and resource costs of physical experiments. This paper investigates the effects of model specific parameters on the development and testing of custom module in PX4 SITL environment. Models of a fixed-wing unmanned aerial vehicle with vertical takeoff and landing capabilities and steerable sensor platform/gimbal are used as case study for this investigation. The effects of parameters of these aerial vehicle and sensor platform models are taken into consideration in the development of custom module that controls the dynamics of steerable sensor platform mounted on the vehicle model. The work also presents steps necessary to customize PX4 SITL and Gazebo simulation environment to incorporate parameters of the vehicle and sensor platform models in the development and testing process of custom module. Based on these instances, simulation results are obtained and discussed. The results show that reliability of PX4 SITL simulation framework is justified by proper customization and integration of PX4 SITL and Gazebo simulator.

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HW/SW Co-Verification and Co-Debugging

Mohamed

2024

Synthesis Lectures on Digital Circuits &Amp; Systems

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Software-in-the-Loop simulation for early-stage testing of AUTOSAR software component

Cited by 22 publications

References 9 publications

Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Swarm of Drones in a Simulation Environment—Efficiency and Adaptation

Effects of Model Specific Parameters on the Development of Custom Module in PX4 Autopilot Software-In-The-Loop

HW/SW Co-Verification and Co-Debugging

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