Surendra Koganti

Assisting in creation and verification of 2D and 3D Sensor Fusion dataset (Camera and LiDAR) with 12,894 frames. Identifying and trimming the required scenarios from 150,250 Camera images and LiDAR point cloud data collected at the intersection. Anonymizing and annotating the data using Xtreme1 and converting it to ASAM OpenLABEL format for standardization. Addressing challenges related to Precision Time Protocol (PTP) synchronization and high-bandwidth consumption during data recording.

Implemented CAN and CAN-FD Rest Bus Simulations using dSPACE, ETAS and Vector, with documentation in Git. Used C/C++, MATLAB, Python and CAPL to automate power supplies, loads and measurement devices. Emulated resolver and wheel speed sensors for HV inverter testing and built a gateway CAN database. Commissioned three inverter and converter testbenches for OEMs. Performed SWE6/SYS5 testing in HiL and HV setups, and automated ECU-TEST execution and report creation, improving efficiency by 20%.