ECLAIR-Robotics/crackle
Oct 2024 – Mar 2025
5 Months active
Languages Used
C++CSVPythonArduino CArduino C++C
Technical Skills
Arduino ProgrammingData AcquisitionData AnalysisData CleaningData ProcessingEmbedded Systems
leo-witzke
PROFILE
Leo-witzke
Leo Weitzke developed an end-to-end audio localization system for the ECLAIR-Robotics/crackle repository, focusing on real-time sound direction estimation using multi-microphone arrays. Over five months, Leo integrated Arduino-based data acquisition with Python-driven signal processing, employing techniques such as FFT analysis, cross-correlation, and cone intersection calculations to improve localization accuracy. The workflow included dynamic device detection, robust data cleaning, and ROS2-based visualization for live monitoring. By refactoring and modularizing the codebase, Leo enhanced maintainability and deployment reliability. The work demonstrated depth in embedded systems, C++ and Python programming, and scientific computing, resulting in a scalable, field-ready robotics sensing pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
19Total
Bugs
0
Commits
19
Features
9
Lines of code
65,683
Activity Months5
Your Network
10 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 performance summary focused on ECLAIR-Robotics/crackle feature delivery and optimization of the audio processing pipeline.
1 Commits • 1 Features
Mar 1, 2025March 2025 performance summary focused on ECLAIR-Robotics/crackle feature delivery and optimization of the audio processing pipeline.
March 2025
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for ECLAIR-Robotics/crackle: Delivered major multi-channel audio localization enhancements for a 4-channel setup, robustness improvements with dynamic Arduino port detection, and comprehensive codebase cleanup with debugging support, enhancing maintainability and deployment reliability. These changes span Python localization logic, Arduino integration, and project structure, enabling higher fidelity localization and smoother cross-platform operation.
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for ECLAIR-Robotics/crackle: Delivered major multi-channel audio localization enhancements for a 4-channel setup, robustness improvements with dynamic Arduino port detection, and comprehensive codebase cleanup with debugging support, enhancing maintainability and deployment reliability. These changes span Python localization logic, Arduino integration, and project structure, enabling higher fidelity localization and smoother cross-platform operation.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ECLAIR-Robotics/crackle focused on delivering an end-to-end Enhanced Audio Localization System with ROS2 publishing and real-time visualization. The work consolidates improvements to audio localization accuracy (including cone intersection calculations), data serialization, Arduino data acquisition, and a ROS2 publishing package with visualization tooling to monitor results in real time across the system.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ECLAIR-Robotics/crackle focused on delivering an end-to-end Enhanced Audio Localization System with ROS2 publishing and real-time visualization. The work consolidates improvements to audio localization accuracy (including cone intersection calculations), data serialization, Arduino data acquisition, and a ROS2 publishing package with visualization tooling to monitor results in real time across the system.
December 2024
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for ECLAIR-Robotics/crackle. Delivered end-to-end audio localization using a two-microphone cross-correlation approach and expanded to 3D direction estimation with a multi-mic array. Implemented Python modules and Arduino integration to enable real-time data capture, with stabilized sampling rate handling and standardized time/voltage computation. The work establishes a robust sensing pipeline ready for real-time robotics applications and sets foundations for field deployments and further optimization.
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for ECLAIR-Robotics/crackle. Delivered end-to-end audio localization using a two-microphone cross-correlation approach and expanded to 3D direction estimation with a multi-mic array. Implemented Python modules and Arduino integration to enable real-time data capture, with stabilized sampling rate handling and standardized time/voltage computation. The work establishes a robust sensing pipeline ready for real-time robotics applications and sets foundations for field deployments and further optimization.
October 2024
3 Commits • 2 Features
Oct 1, 2024October 2024 performance for ECLAIR-Robotics/crackle: Implemented an end-to-end sensor data pipeline and FFT-based audio analysis to enable reliable data capture, clean datasets, and deeper signal insights. These deliverables improve data quality, accelerate analytics, and lay groundwork for future ML applications.
3 Commits • 2 Features
Oct 1, 2024October 2024 performance for ECLAIR-Robotics/crackle: Implemented an end-to-end sensor data pipeline and FFT-based audio analysis to enable reliable data capture, clean datasets, and deeper signal insights. These deliverables improve data quality, accelerate analytics, and lay groundwork for future ML applications.
October 2024
Activity
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Quality Metrics
Correctness83.2%
Maintainability82.0%
Architecture80.6%
Performance69.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Arduino CArduino C++CC++CSVPython
Technical Skills
3D GeometryAlgorithm DevelopmentArduinoArduino ProgrammingAudio AnalysisAudio ProcessingC++Code CleanupCode RefactoringData AcquisitionData AnalysisData CleaningData ProcessingData VisualizationDevice Detection
Repositories Contributed To
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