This project is no longer accepting applications. Subscribe to our newsletter to be notified of new projects!
Analyze the performance of Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) features of a Tesla Model 3.
In this Build Project, you'll step into the role of an Advanced Driver Assistance Systems (ADAS) Testing Engineer. You'll be tasked with analyzing data from Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) tests conducted on the Tesla Model 3 encountering a stationary pedestrian. Your objective is to draw meaningful conclusions regarding pedestrian detection across various scenarios, FCW activation, braking efficiency, and avoidance rates. Guided by an experienced Build Fellow, you'll create spreadsheets, presentations, and reports to effectively convey your findings to the project team. Through this project, you'll gain insights into ADAS testing protocols, current research, technological advancements in ADAS, and the performance of Tesla’s FCW/AEB system. Additionally, you'll develop a comprehensive understanding of the algorithms behind Tesla’s FCW/AEB functionality.
Get to know the Build Fellow and other students, ask questions about the project requirements, prepare your workspace.
Learn technical acronyms and basics of crashes.
Background of test data, instrumentation, and testing variables.
Learn to analyze the test data.
Perform data analysis in weekly meeting and ask questions if any.
Perform data analysis in weekly meeting and ask questions if any.
Introduction to final presentation template and charts required.
Polish your project deliverables and present them to the Build Fellow and other students in the final group session.
Get access to all of our Build projects, including this one, by creating your Build account!
Get started by submitting your application.
We'll notify you when projects reopen. In the meantime, you can explore our resources and learn more about our Fellows.
Sundar Raman Nagarajan is an Automotive Engineering Fellow at Open Avenues Foundation, where he works with students leading projects in Automotive Engineering.
Sundar is an Automotive Collision Engineer at Forensic Rock where he works on accident reconstruction analysis, analysis of ADAS testing of vehicles and regularly conducts vehicle inspections, downloads data related to crashes from vehicles, prepare technical reports etc. Sundar has 4.5+ years of experience in automotive crash analysis. Sundar worked as a CAE Engineer for 3 years with Renault Nissan Automotive in India, primarily dealing with crash simulation and analysis of Nissan vehicles.
He holds a master's degree in automotive engineering from Kettering University, Michigan.
He is a FAA certified commercial drone pilot and enjoys sightseeing with his wife during his free time.