Santosh Upadhye

1. The study focused on providing a methodology for determining ADAS system design requirements using development data, which is field data. 2. In this context, the Time To Collision (TTC) value and the safe distance were determined based on Responsibility-Sensitive Safety (RSS) from Mobilieye for the use case scenario ”Cut-In”. 3. Data Science techniques were used. 4. A logic was developed to extract the ”cut-in” objects. 5. Python packages used were: Pandas, Numpy, Matplotlib, Plotly Express and Plotly GO

The main activities in the role were: 1. General familiarization with ADAS products of the business unit 2. Familiarization with modelling languages and tools for the creation of an architecture model for the documentation of software architecture. (UML component diagram, UML class diagram) 3. Creation of a software architecture model for a Python-based analysis tool which was used to derive perception requirements 4. Extension of a Python-based analysis tool for the derivation of perception requirements

Worked as Graduate Engineering Apprentice Trainee at Toyota Kirloskar Motors Pvt. Ltd. in the Product Design and Development Division for a year from June 2016 to June 2017. Key Responsibilities: 1. Design and Development of Front and Rear Exterior parts of various Toyota Models. 2. Handling of Part Material and Evaluation. 3. Understanding and implementation of Engineering Change.

A Master of Science degree in Commercial Vehicle Technology is a unique course, availing the student to build his knowledge in the fields of mechanical engineering, computer science and electrical engineering. The spectrum of the modules offered in the course structure was: Drives and Gears, Vehicle Vibrations and Automotive production in Mechanical Engineering, Bus Systems, Requirements Engineering in Computer Science and Seminar Electromobility, Electric and Hybrid Vehicles in Electrical Eng.