Siddhant Mehta

- Implement/develop efficient vehicle control algorithms for fully autonomous driving trucks with help from colleagues in the US and Germany. - Design software architecture and implement algorithms for the control system according to requirements. - Conduct vehicle testing and data analysis(log analysis) for the designed functionality and safety requirements. - Developing unit tests, documentation - Linux, C++, python, ROS, software development, vehicle control interfaces, ADAS systems, autonomous driving

- Robot bin picking - Develop and optimize software architecture and framework - Implementing various algorithms for optimal pick point for grasping - Simultaneous Localization and mapping (SLAM) implementation - 3D reconstruction - Object detection - Unit testing (CATCH), documentation, code reviews and repository management - Image processing, Computer Vision, Machine learning, C, C++, Python, Batch Scripting, CMake, Visual studio, BOOST, OpenCV, Halcon, MVtech, Git, Ceres, DevOps, Scrum

- Lane matching, map matching, test interface and diagnosis - C++, Git, JIRA, Polarion, requirements handling

Implementation of accepted algorithms in the internship in C++, visual studio,OpenCV and finally in RasBerryPi

- Optical Navigation for Heliostat - Various image processing algorithm generation and simulation in MATLAB. - Camera selection.

- Stereo camera calibration, rectification, depth map generation and contour generation - Generated depth map with equivalent GUI for end user with the help of C++, C#, OpenCV and Visual Studio

- Conversion of C codes to CUDA codes - Understanding of C code and conversion to CUDA for performance improvement with help of NVIDIA Tx1 GPU. Parallelprogramming, threading.

Realization of digital system, Computer vision, 3D image processing, Image processing and pattern recognition, MATLAB

Mathematics, Signal Processing,VHDL, C, Digital communication, Network theory, Analog Circuit