# Analyze, Debug, Optimize: Real-Time Tracing for Perception and Mapping Systems in ROS 2

arXiv: https://arxiv.org/abs/2204.11778 · HTML: https://mlsanity.com/paper/2204.11778/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Apr 2022.

## Built on by (most cited first, 1 of 1)

- [Device-Free Human State Estimation using UWB Multi-Static Radios](https://mlsanity.com/paper/2401.05410/) (2023)

## Abstract (arXiv)

Perception and mapping systems are among the most computationally, memory, and bandwidth intensive software components in robotics. Therefore, analysis, debugging, and optimization are crucial to improve perception systems performance in real-time applications. However, standard approaches often depict a partial picture of the actual performance. Fortunately, instrumentation and tracing offer a great opportunity for detailed performance analysis of real-time systems. In this paper, we show how our novel open-source tracing tools and techniques for ROS 2 enable us to identify delays, bottlenecks and critical paths inside centralized, or distributed, perception and mapping systems.