Jayashree Mohan

Deep-Learning-Based Fusion of Camera and Low-Resolution LiDAR data for 3D Object Detection • Development of in-house 3D object detection architecture ‘PSR-PointNets’ with python and TensorFlow framework • Implementation of learned fusion methods of the camera and low-resolution LiDAR sensor data • GPU accelerated training and validation of PSR-PointNets in a Linux environment • Results analysis and visualization with pandas, matplotlib, and open3D

Deep-Learning-based 3D Object Detection for Autonomous Driving • Training & validation of LiDAR-based 3D object detection model ‘Frustum PointNets’ using low-resolution input LiDAR point clouds • Training & validation of camera-based 3D object detection model ‘MonoPSR’ • Results analysis with pandas and matplotlib libraries to identify the bottleneck of the models • Development of new architectural ideas for the fusion of MonoPSR and Frustum PointNets

Pedestrian Detection using Image processing and Machine learning on Hardware Platforms such as Raspberry Pi. Algorithm Optimizations to achieve high accuracy of detection with low processing power

• Project: On-Board Diagnostics (OBD) System Development • Software integration using Arduino IDE • Sensor & OBD hardware interface prototyping • Engine & Vehicle Electronics • Advanced Driver Assistance Systems (ADAS)

• Software Testing Life Cycle (STLC) & Testing Methodologies • Client, server & web based application testing • Requirement gathering, test design, execution & analysis • Analysis of Automatic Workload Repository (AWR) reports • Load test script development, test scenario creation • Controller Performance Monitoring (CPM) • On-site coordination with multiple vendors

• Automotive Software Engineering • Software Platform for Automotive Systems • AUTOSAR • Automotive Sensor Systems • Multicore Programming • Image Understanding Neurocomputing

• Data Structures • Object Oriented Programming in C, C++, Java • Oracle DB, MySQL • Operating Systems • Networks