Auterion/mavlink
Feb 2025 – Feb 2025
1 Month active
Languages Used
CXML
Technical Skills
C ProgrammingConfiguration ManagementEmbedded SystemsGitMAVLink ProtocolRevert
Leonardo Simovic
PROFILE
Leonardo Simovic
Leonardo developed and integrated the PIXEL_TO_LLA georeferencing protocol for the Auterion/mavlink repository, enabling conversion of image pixel data to precise latitude, longitude, and altitude coordinates. Using C and XML, he standardized status reporting for geospatial operations, improving clarity and reliability in mapping workflows. Leonardo also addressed stability by reverting unintended changes to standard modes and RTL features, restoring the previous stable baseline for MAVLink-based applications. His work demonstrated a strong grasp of embedded systems and configuration management, delivering both a robust new feature and careful maintenance that enhanced geospatial data integration and ensured safer, more traceable development processes.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
1
Lines of code
344
Activity Months1
Your Network
41 people
Work History
February 2025
5 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Auterion/mavlink focusing on geospatial capabilities and stability. Delivered PIXEL_TO_LLA georeferencing protocol to convert image pixel data to latitude, longitude, and altitude, with standardized status reporting (1 = success, 0 = failure) to improve clarity of geospatial operations. Rolled back unintended changes to standard modes and RTL features to restore prior stable behavior across standard modes and deployments. Overall, the work enhances mapping workflows, improves reliability of geospatial data integration, and reinforces baseline stability for MAVLink-based applications.
5 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Auterion/mavlink focusing on geospatial capabilities and stability. Delivered PIXEL_TO_LLA georeferencing protocol to convert image pixel data to latitude, longitude, and altitude, with standardized status reporting (1 = success, 0 = failure) to improve clarity of geospatial operations. Rolled back unintended changes to standard modes and RTL features to restore prior stable behavior across standard modes and deployments. Overall, the work enhances mapping workflows, improves reliability of geospatial data integration, and reinforces baseline stability for MAVLink-based applications.
February 2025
Activity
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Quality Metrics
Correctness76.0%
Maintainability76.0%
Architecture76.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CXML
Technical Skills
C ProgrammingConfiguration ManagementEmbedded SystemsGitMAVLink ProtocolRevertRevert Commit
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