Sundaresh Ramakrishnaiah

Abschluss: M.Sc., TU Chemnitz

Chemnitz, Deutschland

Fähigkeiten und Kenntnisse

C++
Python
MatLab
OpenCV
DLib
3D Point Cloud
Ceres-solver
Point cloud library
CMake
CLion
Image Processing
Computer Vision
Bildverarbeitung
Software-Entwicklung
Entwicklung von Algorithmen
Software Development
TensorFlow
Linux
Git
Visual Studio

Werdegang

Berufserfahrung von Sundaresh Ramakrishnaiah

  • 8 Monate, Juli 2018 - Feb. 2019

    Master Thesis student

    BMW Group

    Vehicle pose estimation using model-based approach -Accurate estimation of 6D pose of the cars with respect to self-driving car -Algorithm development using C++ -Processing of images and 3D CAD model of cars using OpenCV and HDF5 -Optimization of vehicle pose parameters using Google's Ceres-Solver

  • 6 Monate, Nov. 2017 - Apr. 2018

    Engineering Intern

    Automotive Safety Technologies GmbH

    Camera based interior car monitoring -Face landmark detection -Human heart rate estimation using rPPG (remote plethysmography) technique -Human Pose and Head Pose estimation -Object detection using YOLO, SSD object detectors -Gaze estimation

  • 4 Monate, Aug. 2014 - Nov. 2014

    Engineering Intern

    Mount Microtech Solutions Pvt. Ltd

    Vehicle Theft Detection and Vehicle Tracking System based on Embedded C

Ausbildung von Sundaresh Ramakrishnaiah

  • 3 Jahre und 8 Monate, Okt. 2015 - Mai 2019

    Embedded system

    TU Chemnitz

    Computer Vision Digital Systems 3D Image Processing Real Time Systems MATLAB Machine Learning

Sprachen

  • Deutsch

    Gut

  • Englisch

    Muttersprache

Interessen

Reading
flexible in travelling
Museums
Gaming
city tours

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