Auterion/mavlink
Feb 2025 – Feb 2025
1 Month active
Languages Used
CXML
Technical Skills
C ProgrammingConfiguration ManagementEmbedded SystemsGitMAVLink ProtocolRevert
Leonardo Simovic
PROFILE
Leonardo Simovic
Worked on the Auterion/mavlink repository to enhance geospatial capabilities and system stability. Developed the PIXEL_TO_LLA georeferencing protocol, enabling conversion of image pixel data to latitude, longitude, and altitude within the MAVLink protocol, and standardized status reporting for clearer geospatial operations. Utilized C and XML to implement robust image-to-world coordinate mapping, improving mapping accuracy and interoperability. Addressed stability by rolling back unintended changes to standard modes and RTL features, restoring prior reliable behavior. Applied configuration management and Git skills to ensure clean commit history and safer rollbacks, supporting maintainable development and rapid impact assessment for embedded systems workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
1
Lines of code
344
Activity Months1
Your Network
62 peopleWork 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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