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Kem (TiankuiXian)

PROFILE

Kem (tiankuixian)

Temkei Kem contributed to autowarefoundation/autoware.universe and tier4_perception_dataset by developing and refining core features for autonomous driving systems. Over six months, Temkei built robust data conversion pipelines, enhanced diagnostics interoperability, and improved evaluation metrics for planning and control modules. Using C++, ROS 2, and embedded systems expertise, Temkei implemented configuration-driven workflows, transient_local QoS for state synchronization, and direct distance-based metrics to increase reliability and accuracy. The work included refactoring obstacle evaluation logic to account for dynamic environments and deceleration limits, resulting in safer planning. Temkei’s engineering demonstrated depth in system integration, maintainability, and cross-component coordination.

Overall Statistics

Feature vs Bugs

89%Features

Repository Contributions

9Total
Bugs
1
Commits
9
Features
8
Lines of code
541
Activity Months6

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

Month 2025-10 — Delivered a key safety enhancement in autoware.universe by refactoring obstacle distance and TTC metrics to use vehicle/object footprints and to predict dynamic obstacle interaction while respecting ego deceleration limits. The change improves planning evaluation reliability and safety margins in dynamic environments, establishing a stronger foundation for safer autonomous navigation and mission success.

September 2025

2 Commits • 2 Features

Sep 1, 2025

September 2025 monthly wrap-up for autoware.universe: Delivered two key metrics changes in the evaluation stack and fixed a goal-metrics calculation bug. Implemented a direct distance-based approach for goal deviation metrics across control and planning evaluators, and introduced a new lateral_acceleration_abs metric in the control evaluator. These efforts improved stopping-at-goal accuracy, metric reporting, and overall evaluation fidelity, enabling better tuning and deployment readiness.

August 2025

2 Commits • 2 Features

Aug 1, 2025

Summary for 2025-08: Focused on improving runtime robustness and telemetry fidelity across core Autoware components. Implemented two cross-node features in autoware.universe with direct business impact: (1) robust operation_mode_state state synchronization via transient_local QoS, ensuring new subscribers immediately receive the latest value across autoware_trajectory_follower_node, autoware_mission_planner_universe, and autoware_scenario_selector; (2) conditional metrics emission in control_evaluator to report metrics only while the ego vehicle is moving, with adjusted accumulation to avoid counting idle periods. These changes reduce stale data, improve safety-critical decisions, and enhance telemetry quality for mission planning and scenario evaluation. Commit references: 70be106253477d0742209163026a93ef028e5577; 7795497bfa115c8f269faf159a2b0e8ce31d6f4c.

July 2025

1 Commits • 1 Features

Jul 1, 2025

July 2025 monthly work summary for autowarefoundation/autoware.universe focusing on Diagnostics Message Format Conversion in the Autoware Scenario Simulator V2 Adapter. Delivered a capability to convert all diagnostics messages into UserDefinedValue messages within autoware_scenario_simulator_v2_adapter, including a new subscription for diagnostic arrays and conversion from DiagnosticStatus to UserDefinedValue, with minor refactoring and parameter adjustments. This work enables consistent diagnostics data for downstream telemetry, dashboards, and analytics, improving interoperability between simulation components. Commit: 6630359ce10847449af0d79209ba1cbb05b16942 (PR #11033).

June 2025

2 Commits • 1 Features

Jun 1, 2025

June 2025: Delivered packaging and post-release fixes across ros/rosdistro and autowarefoundation/autoware.universe. Enhances release readiness, maintainability, and post-launch stability, demonstrating proficiency in ROS packaging, versioning, bloom workflows, and rapid incident response.

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary for tier4_perception_dataset: Delivered a configuration-driven rosbag2 data conversion setup to streamline planning/control data prep and standardize dataset structure for faster evaluations.

Activity

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Quality Metrics

Correctness87.8%
Maintainability86.6%
Architecture84.4%
Performance78.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++MarkdownYAMLyaml

Technical Skills

Algorithm DevelopmentAutonomous DrivingC++C++ DevelopmentControl SystemsDebuggingDistribution ManagementEmbedded SystemsMetric CalculationPackage ManagementROSROS 2ROS2RoboticsSoftware Development

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

autowarefoundation/autoware.universe

Jun 2025 Oct 2025
5 Months active

Languages Used

C++YAMLyamlMarkdown

Technical Skills

C++DebuggingC++ DevelopmentROSSystem IntegrationControl Systems

tier4/tier4_perception_dataset

Apr 2025 Apr 2025
1 Month active

Languages Used

yaml

Technical Skills

configuration managementdata conversion

ros/rosdistro

Jun 2025 Jun 2025
1 Month active

Languages Used

YAML

Technical Skills

Distribution ManagementPackage Management

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