fsae

Enable your racing car with powerful, data-driven instrumentation, control, and analysis systems, all wrapped up in a gorgeous look.

Formula Student Driverless 2019

A LiDAR dataset with 3D annotated cones for Formula Student Driverless teams

The AlphaGo for car racing.

Contains Aerodynamics Package for Formula student racecar

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

🛒 Software for Fenice's charging handcart

Bot to upload ESF sections to Formula Student Germany website

A tool to dig deep into telemetry data

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

Simple and lightwieght simulation of the 75m acceleration test at FSAE events.

Passive & Active Precharge Computational Models

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

A proposed low-voltage grounded APU for FSAE-A vehicles

Offline Python pipeline that ingests 2023 AiM logger CSV exports from a Formula SAE car into a TimescaleDB hypertable and serves SQL views via a FastAPI REST API to a Power BI dashboard