waterloo-rocketry/cansw_processor_canards
Mar 2026 – Mar 2026
1 Month active
Languages Used
CNone
Technical Skills
C programmingNoneUART communicationembedded systemssensor integration
Shiming He
PROFILE
Shiming He
Eshim Minghe developed sensor integration features for the waterloo-rocketry/cansw_processor_canards repository, focusing on enabling Altimu sensor support and integrating the XSens motion-tracking system. Using C programming and embedded systems expertise, Eshim upgraded the XSens MTi library and implemented robust UART communication, including enhanced error handling and data reception callbacks. This work improved the reliability of motion-tracking data and prepared the codebase for future sensor fusion enhancements. The engineering effort addressed mission-critical requirements for stable sensor data flow, demonstrating depth in embedded sensor integration and data handling. The project laid a solid foundation for ongoing improvements in sensor-driven applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
31,691
Activity Months1
Your Network
28 peopleShared Repositories
28
Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for waterloo-rocketry/cansw_processor_canards. Implemented Altimu sensor support and XSens integration, including robust UART error handling and data reception callbacks, and upgraded the XSens MTi library. This work improves motion-tracking data reliability and sensor fusion readiness for mission-critical applications, and establishes a stable path for future sensor integration and data handling enhancements.
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for waterloo-rocketry/cansw_processor_canards. Implemented Altimu sensor support and XSens integration, including robust UART error handling and data reception callbacks, and upgraded the XSens MTi library. This work improves motion-tracking data reliability and sensor fusion readiness for mission-critical applications, and establishes a stable path for future sensor integration and data handling enhancements.
March 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CNone
Technical Skills
C programmingNoneUART communicationembedded systemssensor integration
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