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Model-Based Development for Event-Driven and Timer-Driven ROS 2 Nodes Considering Parallelization
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DOI：10.1109/OJIES.2026.3659855.png)
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Abstract
En 中文
In recent years, the increasing complexity of industrial cyber-physical systems such as autonomous vehicles has tightened real-time constraints, yet conventional model-based development (MBD) does not always exploit embedded multi/many-core processors. Obstacles include the need to manually implement ROS 2 I/O and node structure, the requirement in ROS 2 to handle execution timing such as event-driven and timer-driven callbacks and multi-input synchronization, and parallelization must be repeated for target hardware configurations. Although Model-based Parallelizer (MBP) can generate task-parallel code from Simulink models, its support for MATLAB/Simulink Toolbox blocks (e.g., ROS Toolbox) is limited, and lacking data parallelism, speedup is hard to obtain. This paper proposes a Simulink-to-ROS 2 parallel code generation method from Simulink models that include Toolbox blocks. The proposed method preserves Toolbox-equivalent functionality while preventing excessive block reduction from degrading parallelism, and generates ROS 2 C++ nodes automatically that support event-driven and timer-driven execution. Functional correctness is validated through split-merge-based verification and back-to-back tests using identical rosbag2 inputs. Beyond single-node execution time, the method measures end-to-end pipeline execution time across multiple nodes and ROS 2 latency; variability is quantified using WCET (maximum over 1,000 runs), jitter, and variance. Autoware Universe-derived ROS 2 nodes are evaluated on Raspberry Pi 4, WSL2, and the Coolidge platform. The evaluation demonstrates up to 15.92 times speedup on a 16-core Coolidge configuration. Meanwhile, ROS 2 communication and scheduling latency remains below approximately 1% of a 100 ms cycle. These results demonstrate practical, reproducible high-performance ROS 2 deployment on embedded platforms using Toolbox-based MBD.
Keywords:
Mathematical models
Codes
Software packages
Autonomous vehicles
Software
C plus plus languages
MATLAB
Real-time systems
Pipelines
Parallel processing
Embedded systems
model-based development (MBD)
multicore processor
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