una-auxme/paf
Nov 2024 – Nov 2024
1 Month active
Languages Used
Markdown
Technical Skills
DocumentationResearchTechnical Writing
fedor98
PROFILE
Fedor98
Worked on the una-auxme/paf repository to deliver comprehensive decision-making documentation for autonomous driving systems. The work detailed current implementations using Decision Trees and Finite State Machines, and proposed a hybrid planning approach incorporating Monte Carlo Tree Search. By focusing on technical writing and research, the documentation clarified system design reasoning and outlined future directions, supporting clearer technical alignment across teams. Markdown was used to ensure consistent formatting, and documentation quality was further improved by correcting formatting issues and typos, including resolving linting problems from HTML syntax. These contributions enhanced onboarding and provided a stronger foundation for ongoing development efforts.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
116
Activity Months1
Your Network
34 peopleShared Repositories
34
michalal7Member
Anastasiia BilinskaMember
AntoniaMember
Antonia GessweinMember
simoooongMember
victor-42Member
Johannes1098Member
johannaschwarzMember
Julian TrommerMember
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — For una-auxme/paf, delivered key documentation and improved doc quality. Key feature delivered: Decision-Making Documentation and Rationale detailing current implementations (Decision Trees, FSMs) and a proposed hybrid planning + Monte Carlo Tree Search approach (commit d4812730d19e7938b328a25dbd5a7182f0f377da). Major bugs fixed: Documentation formatting and typo corrections (commits a32d6c62c642ec29b4ab7280b28ba4247330732d, 4a1ba66b6535ac9377aa726b7f968593634d9645), addressing linting issues from HTML usage. Overall impact: clearer technical direction, improved onboarding, and stronger cross-team alignment for autonomous driving decision-making. Technologies/skills demonstrated: technical writing, Markdown formatting, system design reasoning for decision-making architectures (Decision Trees, FSMs, Monte Carlo Tree Search), and quality-focused documentation practices.
3 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — For una-auxme/paf, delivered key documentation and improved doc quality. Key feature delivered: Decision-Making Documentation and Rationale detailing current implementations (Decision Trees, FSMs) and a proposed hybrid planning + Monte Carlo Tree Search approach (commit d4812730d19e7938b328a25dbd5a7182f0f377da). Major bugs fixed: Documentation formatting and typo corrections (commits a32d6c62c642ec29b4ab7280b28ba4247330732d, 4a1ba66b6535ac9377aa726b7f968593634d9645), addressing linting issues from HTML usage. Overall impact: clearer technical direction, improved onboarding, and stronger cross-team alignment for autonomous driving decision-making. Technologies/skills demonstrated: technical writing, Markdown formatting, system design reasoning for decision-making architectures (Decision Trees, FSMs, Monte Carlo Tree Search), and quality-focused documentation practices.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
DocumentationResearchTechnical Writing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline