Arun Sid

Angestellt, Software Developer - Vehicle Operating System AUTOSAR, ETAS GmbH (Bosch Group)
Regensburg, Germany

Fähigkeiten und Kenntnisse

C++
Computer vision
Sensor technology
TensorFlow
OpenCV
Robotic operating system(ROS)
Calibration and Testing
Python
AUTOSAR
Machine Learning
Convolutional neural netwerk
The C Programming Language
Bildverarbeitung
Autonomous driving
Jenkins

Werdegang

Berufserfahrung von Arun Sid

  • Current 3 years and 1 month, since May 2023

    Software Developer - Vehicle Operating System AUTOSAR

    ETAS GmbH (Bosch Group)

    Working on ETAS Middleware - Adaptive Autosar, Specialized on Diagnostics C++ Solution Activities based on Micro Processor middleware architecture. High Performance middleware supporting ADAS/AD Applications V cycle, Feature developement, Bugfixes, Testing, Quality topics on middleware Diagnostics component

  • 4 years and 4 months, Jan 2019 - Apr 2023

    Function Developer ADAS/Autonomous Driving

    AVL Software and Functions GmbH

    Develops Functionality to Autonomous Driving Department. Functionality for Perception in C++/Python. Specialized in Computer Vision, Calibration of Sensors, Neural Network Implementation in C++, Stereo/Monocular Camera, Mapping and Localization, Robotic Operating System. Worked on Driving Monitoring Projects, Camera Auto Brightness Functionalities Neural Network C++/Python Implementations ,System and Integration Tasks from Multiple Sensors.2D Surround View Implementations. Process Guidelined Developements.

  • 9 months, Apr 2018 - Dec 2018

    Master Thesis+ Internship

    AVL Software and Functions GmbH,Regensburg-ADAS & Autonomous Drive

    " Real-time remote parking for generic parking lots via Camera "

  • 3 months, Oct 2017 - Dec 2017

    Studentische Hilfskraft in Mobile perception Systems-Autonomous Driving

    FZI Forschungszentrum Informatik, Karlsruhe (Germany)

    -> Worked under the department of Mobile perception Systems in the Context of Autonomous driving and cognitive automobiles. -> Work involved the usage of Software-Framework ROS (Robotic Operating System). -> Implementation of algorithm for the abstraction of Lane marking detection. -> Lane estimation and plotting the trajectory from ROS topic messages.

  • 1 year and 2 months, Oct 2016 - Nov 2017

    Working Student in Autonomous FSG Team

    Formula Student Germany[ F S G ], Karlsruhe (Germany)

    -> Implementation of Autonomous formula car for the FSG competition. -> worked under the topics of Image processing ,Lane detection ,Deep-learning-Neural network Classifiers ,Testing and validating cameras,Camera calibration,Implementation and training a convolutional neural network to classify traffic signs(Tensor flow).

  • 1 year, Aug 2016 - Jul 2017

    Graduate Research Assistant in Project Group Sensors and Analytical Systems

    Fraunhofer-Institut, pfinztal (Germany)

    -> Worked for the Project Group Sensors and Analytical Systems. -> Collaborated in a publicly promoted project in the subject field of the Development of Sensor systems. -> Worked in the field of data extraction and editing. -> Programmed software for sensor data analysis using C++ language . -> The tools developed in the programming process have introduced sensor peak identification and determination.

  • 6 months, Jan 2015 - Jun 2015

    Bachelor thesis in Experimental verification for Dynamic Voltage Restorer

    GREEN POWER TECHNOLOGIES,INDIA:

    -> Under the Topic of Experimental verification for Dynamic Voltage Restorer. -> Implementation the hardware setup dealing with the high voltage and low voltage situations of risk. -> Hardware verification of the experimental setup by software involving MATLAB framework.

Ausbildung von Arun Sid

  • 2 years and 11 months, Feb 2016 - Dec 2018

    Sensor Systems Technology

    Karlsruhe University of Applied Sciences (Hochschule Karlsruhe)

    Programming in C/C++ Bus Systems Computer Vision Optical Sensors Power Systems

  • 3 years and 11 months, Jul 2011 - May 2015

    Electrical and Electronic Engineering

    Karunya University

Sprachen

  • English

    C2 (Verhandlungssicher / Muttersprachlich)

  • German

    B1-B2 (Gute Kenntnisse)

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