Acknowledgement
본 연구는 과학기술정보통신부 및 정보통신기획평가원의 대학 ICT 연구센터사업의 연구결과로 수행되었음(IITP-2024-RS-2023-00259967).
References
- Rivera, Sean, et al. "ROS-FM: fast monitoring for the robotic operating system (ROS)." 2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS). IEEE, 2020.
- Bedard, Christophe, Ingo Lutkebohle, and Michel Dagenais. "ros2_tracing: Multipurpose low-overhead framework for real-time tracing of ROS 2." IEEE Robotics and Automation Letters 7.3 (2022): 6511-6518. https://doi.org/10.1109/LRA.2022.3174346
- OpenRobotics.2024.ROS2 Documentation: Iron - Using Callback Groups. https://docs.ros.org/en/iron/How-To-Guides/Using-callback-groups.html. [Online; accessed 31-March-2024].
- Desnoyers, Mathieu, and Michel R. Dagenais. "The lttng tracer: A low impact performance and behavior monitor for gnu/linux." OLS (Ottawa Linux Symposium). Vol. 2006. Citeseer, 2006.
- EfficiOS. 2024. Babeltrace Documentation (Babeltrace 2). https://babeltrace.org/. [Online; accessed 31-March-2024].