Enable your racing car with powerful, data-driven instrumentation, control, and analysis systems, all wrapped up in a gorgeous look.
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Updated
Jul 9, 2026 - Python
Enable your racing car with powerful, data-driven instrumentation, control, and analysis systems, all wrapped up in a gorgeous look.
A LiDAR dataset with 3D annotated cones for Formula Student Driverless teams
Prototype AMP Autonomous (Driving) System
Contains Aerodynamics Package for Formula student racecar
The AlphaGo for car racing.
The objective of this project is to optimize the two-dimensional data of the intake and exhaust systems of the CF 700 engine (intake manifold 1 length, intake manifold 2 length, resonator volume, exhaust manifold 1 length, exhaust manifold 2 length), aiming to maximize the average torque across the entire operating range (2000–9000 rpm),
Hardware in the loop firmware, test engine, and test scripts for Purdue Electric Racing
Bot to download ESF sections to Formula Student Germany website
A serverless AWS cloud infrastructure and real-time web dashboard for FSAE electric vehicle telemetry. Built with AWS IoT Core, Lambda, and MQTT over WebSockets for secure, low-latency data streaming
Bot to upload ESF sections to Formula Student Germany website
🛒 Software for Fenice's charging handcart
OpenFOAM CFD automation for Formula Student (FSAE): turn an STL + JSON config into a runnable external-aerodynamics case with snappyHexMesh, y+ boundary layers, live telemetry, and SLURM/HPC runs.
MoTeC C125 遥测分析:原生解析 .ld(不经过 i2 Pro)+ CSV/Excel/CAN 原始帧导入 → 自动切圈 · 赛道区段 · 数学通道 · GPS 校正 → 离线单文件 HTML 工作台(图表/散点/直方图/频谱/报表)+ CSV/Excel 导出。Python 标准库 + numpy/pandas/pyarrow,无 npm 无构建。 | Native MoTeC .ld parser and build-free single-file telemetry workbench for FSAE / Formula Student.
Train cone detection models for Formula Student with YOLO, FSOCO, and simple Hydra-based configs.
NM26 mule: a drivable FSAE 2026 test car designed in Python, with 228 automated rule and design checks run in CI, plus full CAD (STEP/Fusion).
Data-driven manufacturing analysis for an FSAE-E electric vehicle prototype — cost modelling, process efficiency, material selection, and multi-objective optimization
Communication boards between the dyno control panel & r19e/r26 ECU
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