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Prepare a Performance Analysis of Tesla's Advanced Safety Features
Sundar Raman Nagarajan
Sundar Raman Nagarajan
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Prepare a Performance Analysis of Tesla's Advanced Safety Features

Analyze the performance of Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) features of a Tesla Model 3.

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Fridays
 at
6:30
P.M.
 ET /
3:30
P.M.
PT
8 weeks, 2-3 hours per week
Intermediate
No experience required
No experience required
Some experience required
Degree and experience required

Description

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.

Session timeline

  • Applications open
    May 27, 2024
  • Application deadline
    June 23, 2024
  • Project start date
    Week of July 8, 2024
    Week of
    July 8, 2024
  • Project end date
    Week of

What you will learn

  • Learn the basics of Advanced Driver Assistance Systems (ADAS) in automotive.
  • Learn to use VBOX Test Suite Software for data analysis.
  • Understand the performance of FCW/AEB in a 2022 Tesla Model 3 against a stationary pedestrian target.
  • Learn how to derive inferences from a set of test data.
  • Learn how to prepare a technical presentation and how to present data.
Build Projects are 8-week experiences that operate on a rolling basis. Selected participants engage in weekly live workshops with a Build Fellow and 2-15 other students.

Project workshops

1
Introductions
2
Advanced Driver Assistance Systems (ADAS)
3
Tesla ADAS testing
4
Data Analysis
5
Hands on Session
6
Hands on Session
7
Prepare for Final Presentation
8
Presentations

Prerequisites

  • Knowledge of algebra, time-distance formulae, averages, and standard deviations. Courses such as Physics and Math should have covered these topics.
  • Basic Excel skills: you should know how to format, sort, and filter data, use standard formulas (sum, average, min, max), and create plots.
  • Basic PowerPoint skills: you should know how to add figures and graphs to your slides and change their sizes and display.  
  • Before the project starts, you'll need to have VBOX Test Suite Software installed on your computer. It is free to register and use.

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About the expert
Sundar Raman Nagarajan
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Sundar Raman
's Linkedin

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.

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