OpenHUTB/nn
Sep 2025 – Feb 2026
4 Months active
Languages Used
MarkdownPython
Technical Skills
DocumentationGame DevelopmentPygameSimulationConsole ApplicationsEmbedded Systems
shengzhanpeng
PROFILE
Shengzhanpeng
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
8
Lines of code
1,858
Activity Months4
Your Network
159 people
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 (OpenHUTB/nn): Delivered LiDAR-Based Obstacle Avoidance System for Autonomous Vehicles, integrating LiDAR data processing with real-time control logic and validating the solution in simulation. The work is tracked with commit 484bc605d42aca397beda9cbd7a3075d0c2f2859, titled 仿真避障 (#4800). No major bug fixes documented this month; emphasis was on feature development and validation. Impact: enhanced autonomous navigation safety, ready path for real-world testing, and improved data pipeline reliability. Technologies: LiDAR data processing, real-time decision making, simulation-based validation, Git-based traceability.
1 Commits • 1 Features
Feb 1, 2026February 2026 (OpenHUTB/nn): Delivered LiDAR-Based Obstacle Avoidance System for Autonomous Vehicles, integrating LiDAR data processing with real-time control logic and validating the solution in simulation. The work is tracked with commit 484bc605d42aca397beda9cbd7a3075d0c2f2859, titled 仿真避障 (#4800). No major bug fixes documented this month; emphasis was on feature development and validation. Impact: enhanced autonomous navigation safety, ready path for real-world testing, and improved data pipeline reliability. Technologies: LiDAR data processing, real-time decision making, simulation-based validation, Git-based traceability.
February 2026
December 2025
13 Commits • 5 Features
Dec 1, 2025monthly summary for OpenHUTB/nn covering December 2025. Focused on delivering end-to-end autonomous vehicle simulation features, reliability fixes, and cross-functional collaboration that drives safety, efficiency, and test coverage in a simulated environment.
December 2025
13 Commits • 5 Features
Dec 1, 2025monthly summary for OpenHUTB/nn covering December 2025. Focused on delivering end-to-end autonomous vehicle simulation features, reliability fixes, and cross-functional collaboration that drives safety, efficiency, and test coverage in a simulated environment.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered foundational autonomous driving simulation feature in the OpenHUTB/nn repository, establishing a reusable Pygame-based environment and driving model scaffolding to enable rapid prototyping and validation of control algorithms. The work provides a Car class for movement and rendering and a main loop with forward/backward and turning controls, laying groundwork for sensor integration and AI planning in subsequent iterations.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered foundational autonomous driving simulation feature in the OpenHUTB/nn repository, establishing a reusable Pygame-based environment and driving model scaffolding to enable rapid prototyping and validation of control algorithms. The work provides a Car class for movement and rendering and a main loop with forward/backward and turning controls, laying groundwork for sensor integration and AI planning in subsequent iterations.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on OpenHUTB/nn. The main deliverable this month was the initial README submission for the Self-driving car control module (无人车控制模块), establishing the module description and scope. No major bugs were reported or fixed during this period. This work creates a solid documentation baseline and alignment for upcoming development and integration tasks in the repository.
September 2025
1 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on OpenHUTB/nn. The main deliverable this month was the initial README submission for the Self-driving car control module (无人车控制模块), establishing the module description and scope. No major bugs were reported or fixed during this period. This work creates a solid documentation baseline and alignment for upcoming development and integration tasks in the repository.
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Quality Metrics
Correctness93.8%
Maintainability81.2%
Architecture85.0%
Performance81.2%
AI Usage25.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Console ApplicationsDocumentationEmbedded SystemsGUI DevelopmentGUI developmentGame DevelopmentLIDAR data processingPygamePythonPython programmingRandom Data GenerationSimulationThreadingUI developmentalgorithm development
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