inertialsense/inertial-sense-sdk
Feb 2025 – Mar 2025
2 Months active
Languages Used
CC++Python
Technical Skills
Data ProcessingData VisualizationEmbedded SystemsGPS Data AnalysisLog AnalysisPython Scripting
Alexander Bogdanov
PROFILE
Alexander Bogdanov
Andrey Bogdanov enhanced the inertial-sense-sdk by developing and refining features that improved GNSS data quality, visualization, and preprocessing. He introduced separate outlier thresholds for phase and code, enabling more precise anomaly detection in GPS data analysis. Using Python, C++, and NumPy, Andrey expanded logInspector to plot satellite SNR for multiple frequencies and improved initial data filtering to reduce the impact of corrupted samples. He also tuned RTK Cn0 thresholds to strengthen satellite signal requirements and fixed time range plotting for GNSS raw data, resulting in more reliable analytics and robust signal processing throughout the embedded system’s data pipeline.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
3
Lines of code
83
Activity Months2
Your Network
8 peopleSame Organization
@inertialsense.com3
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — GNSS reliability and visualization enhancements in inertial-sense-sdk. Delivered RTK Cn0 threshold tuning and fixed GNSS raw data plot time range to ensure accurate visualization across time discontinuities. These changes improve data integrity, reduce false negatives in RTK, and provide a clearer analytics UI for GNSS data.
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — GNSS reliability and visualization enhancements in inertial-sense-sdk. Delivered RTK Cn0 threshold tuning and fixed GNSS raw data plot time range to ensure accurate visualization across time discontinuities. These changes improve data integrity, reduce false negatives in RTK, and provide a clearer analytics UI for GNSS data.
March 2025
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for inertial-sense-sdk: Three targeted deliverables improved data quality, visualization, and preprocessing, translating into clearer diagnostics, more reliable GPS/RTK processing, and reduced impact of early data corruption. Business value: higher precision in outlier detection, better visibility into satellite signals, and more robust initial data handling that reduces downstream noise.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for inertial-sense-sdk: Three targeted deliverables improved data quality, visualization, and preprocessing, translating into clearer diagnostics, more reliable GPS/RTK processing, and reduced impact of early data corruption. Business value: higher precision in outlier detection, better visibility into satellite signals, and more robust initial data handling that reduces downstream noise.
Activity
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Quality Metrics
Correctness80.0%
Maintainability86.6%
Architecture76.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Python
Technical Skills
Data ProcessingData VisualizationEmbedded SystemsGNSSGPS Data AnalysisLog AnalysisNumPyPythonPython ScriptingSignal Processing
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