inertialsense/inertial-sense-sdk
Feb 2025 – Sep 2025
7 Months active
Languages Used
CC++Python
Technical Skills
Embedded SystemsExtended Kalman Filter (EKF)Real-Time Kinematics (RTK)Data VisualizationPython DevelopmentSignal Processing
Alexander Bogdanov
PROFILE
Alexander Bogdanov
Alex Bogdanov developed and enhanced sensor fusion, navigation, and data visualization features in the inertialsense/inertial-sense-sdk repository over seven months. He refactored the RTK EKF architecture, introduced velocity constraints, and implemented shock detection and mitigation for the LEONARDO EKF, improving robustness in GNSS-challenged and high-shock environments. Using C++, Python, and embedded systems expertise, Alex optimized memory usage in RTK data structures, added uncertainty modeling for wheel encoder data, and improved plotting infrastructure for diagnostics. His work included defensive data handling, macro correctness, and documentation updates, resulting in more reliable telemetry, maintainable code, and enhanced developer and customer workflows.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
9
Lines of code
220
Activity Months7
Your Network
8 peopleSame Organization
@inertialsense.com3
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for inertialsense/inertial-sense-sdk. Focused on enhancing encoder data uncertainty modeling to improve sensor fusion and navigation reliability.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for inertialsense/inertial-sense-sdk. Focused on enhancing encoder data uncertainty modeling to improve sensor fusion and navigation reliability.
September 2025
August 2025
5 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered key reliability and visibility improvements in inertial-sense-sdk. Key features: square macro _SQR(a) with proper operator precedence (commits 5340ec9e45c3c410fea7564ea29cb800af8c8ee6; 5384c681e00e829d3836f05461a2f16b980ba9cc), wheel encoder aiding velocity data series added to INS plots with logPlotter.py updates (commit d6fc4e6d09df250d480773c0e92a65554a2b9937), and documentation updates clarifying covariance data layout (commit cb2d9b1ee55a3ad02921d30291f302308489e8b0). Major bug fix: magnetometer calibration status flag clarified by renaming to INS_STATUS_MAG_INTERFERENCE_OR_BAD_CAL_OR_NO_CAL and updating INS_STATUS_ERROR_MASK (commit a4b3cbdd57930b320b3176eba4799c1c8c55848f). Overall impact: improved numerical correctness, sensor fusion visibility, and developer onboarding; reduced telemetry misinterpretation and support overhead; demonstrated proficiency in C/C++, Python scripting for plotting, and documentation. Business value: more robust sensor math, faster issue resolution, clearer calibration status, and better diagnostics for QA and customers.
August 2025
5 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered key reliability and visibility improvements in inertial-sense-sdk. Key features: square macro _SQR(a) with proper operator precedence (commits 5340ec9e45c3c410fea7564ea29cb800af8c8ee6; 5384c681e00e829d3836f05461a2f16b980ba9cc), wheel encoder aiding velocity data series added to INS plots with logPlotter.py updates (commit d6fc4e6d09df250d480773c0e92a65554a2b9937), and documentation updates clarifying covariance data layout (commit cb2d9b1ee55a3ad02921d30291f302308489e8b0). Major bug fix: magnetometer calibration status flag clarified by renaming to INS_STATUS_MAG_INTERFERENCE_OR_BAD_CAL_OR_NO_CAL and updating INS_STATUS_ERROR_MASK (commit a4b3cbdd57930b320b3176eba4799c1c8c55848f). Overall impact: improved numerical correctness, sensor fusion visibility, and developer onboarding; reduced telemetry misinterpretation and support overhead; demonstrated proficiency in C/C++, Python scripting for plotting, and documentation. Business value: more robust sensor math, faster issue resolution, clearer calibration status, and better diagnostics for QA and customers.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered memory optimization for RTK data structures by converting several double-precision fields to single-precision, reducing memory usage and potentially improving runtime performance in the RTK pipeline. Targeted fields include satellite elevation, error ratios, measurement errors, noise thresholds, and baseline constraints across inertial-sense-sdk RTK components. No major bugs fixed this month; focused on performance improvement and maintainability.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered memory optimization for RTK data structures by converting several double-precision fields to single-precision, reducing memory usage and potentially improving runtime performance in the RTK pipeline. Targeted fields include satellite elevation, error ratios, measurement errors, noise thresholds, and baseline constraints across inertial-sense-sdk RTK components. No major bugs fixed this month; focused on performance improvement and maintainability.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025In June 2025, delivered a shock mitigation feature for the LEONARDO EKF in the inertial-sense SDK, enhancing robustness of IMU data under mechanical shocks and improving navigation reliability. Implemented a new shock field in raw IMU data, relocated shock detection/rejection to NavINL_base.cpp, and added flash configuration options for shock detection. Updated IMU configuration to be parameterizable for shock latency, rejection latch time, and accel/gyro thresholds with unit changes. Fixed pybindMacros.h to reflect updated data structures and ensured Python bindings align with the new data models. The changes were delivered in the LEONARDO SDK for SN-6479 EKF, commit 9e7fd63331b64ac301f625ffe1ff34a7663e022e. Business impact includes improved reliability and accuracy of navigation data in high-shock environments, reducing post-processing effort and enabling safer operation.
June 2025
1 Commits • 1 Features
Jun 1, 2025In June 2025, delivered a shock mitigation feature for the LEONARDO EKF in the inertial-sense SDK, enhancing robustness of IMU data under mechanical shocks and improving navigation reliability. Implemented a new shock field in raw IMU data, relocated shock detection/rejection to NavINL_base.cpp, and added flash configuration options for shock detection. Updated IMU configuration to be parameterizable for shock latency, rejection latch time, and accel/gyro thresholds with unit changes. Fixed pybindMacros.h to reflect updated data structures and ensured Python bindings align with the new data models. The changes were delivered in the LEONARDO SDK for SN-6479 EKF, commit 9e7fd63331b64ac301f625ffe1ff34a7663e022e. Business impact includes improved reliability and accuracy of navigation data in high-shock environments, reducing post-processing effort and enabling safer operation.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 — Consolidated feature delivery and reliability improvements in inertial-sense-sdk. Key feature delivered: Shock detection and mitigation for Leonardo EKF with configurable thresholds and latency, new shock-info data structures, and updated plotting to visualize shock events. Major bugs fixed: Robustness improvements for plotting/log inspection to prevent crashes when data arrays are empty and to handle missing GPS2/IMU3 data. Overall impact: improved sensor-fusion robustness, richer observability, and safer log inspection workflows, enabling faster diagnosis and steadier field operations. Technologies/skills demonstrated: EKF-based sensor fusion, shock detection, configurable data pipelines, defensive data handling, and enhanced plotting/visualization.
2 Commits • 1 Features
May 1, 2025May 2025 — Consolidated feature delivery and reliability improvements in inertial-sense-sdk. Key feature delivered: Shock detection and mitigation for Leonardo EKF with configurable thresholds and latency, new shock-info data structures, and updated plotting to visualize shock events. Major bugs fixed: Robustness improvements for plotting/log inspection to prevent crashes when data arrays are empty and to handle missing GPS2/IMU3 data. Overall impact: improved sensor-fusion robustness, richer observability, and safer log inspection workflows, enabling faster diagnosis and steadier field operations. Technologies/skills demonstrated: EKF-based sensor fusion, shock detection, configurable data pipelines, defensive data handling, and enhanced plotting/visualization.
May 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered Satellite SNR plotting enhancements for L1/L5 using GPS1/GPS2 in inertial-sense-sdk. Added new SNR plots, updated plotting infrastructure, and hardened data handling to manage potentially corrupted initial samples. These changes improve GNSS diagnostics, data quality, and overall telemetry reliability for customers and developers.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered Satellite SNR plotting enhancements for L1/L5 using GPS1/GPS2 in inertial-sense-sdk. Added new SNR plots, updated plotting infrastructure, and hardened data handling to manage potentially corrupted initial samples. These changes improve GNSS diagnostics, data quality, and overall telemetry reliability for customers and developers.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered targeted RTK EKF refactor and introduced velcon velocity constraint parameter to prcopt_t in inertial-sense-sdk. This work modernizes the EKF architecture, improves compass-mode velocity constraint handling, and enhances RTK-based positioning reliability in challenging GNSS conditions. Demonstrated strong C/C++ proficiency, careful API evolution, and solid code traceability through commit RTK EKF refactor (#830) (73d9a1c6fa445f9ef22df98f7a65e071061ae84a).
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered targeted RTK EKF refactor and introduced velcon velocity constraint parameter to prcopt_t in inertial-sense-sdk. This work modernizes the EKF architecture, improves compass-mode velocity constraint handling, and enhances RTK-based positioning reliability in challenging GNSS conditions. Demonstrated strong C/C++ proficiency, careful API evolution, and solid code traceability through commit RTK EKF refactor (#830) (73d9a1c6fa445f9ef22df98f7a65e071061ae84a).
February 2025
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Quality Metrics
Correctness89.2%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Python
Technical Skills
Bug FixesC++C++ DevelopmentConfiguration ManagementData LoggingData StructuresData VisualizationDebuggingDocumentationEmbedded SystemsExtended Kalman Filter (EKF)Firmware DevelopmentMacrosPerformance OptimizationPython Development
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