Arun Sid

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.

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

-> 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.

-> 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).

-> 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.

-> 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.

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