Arvind Chandran

- Initiate and lead the design and development of Motion Planning & Control strategies of an Level4 Autonomous Vehicle (AV) in a dynamic environment which includes concept development, prototype testing and engineering design. - Create technical specifications, test plans and documentation. - Collaborate with third parties on system build and integration testing. - Oversee the software development for the engineering team, perform quality control checks and validate the work.

Autonomous Driving related subsystems - L2 to L4 - Perception - Camera based Object Detection - Motion-Planning & Kinematic Control algorithms - HERE HD maps - Adapting HD maps to Driving Corridor Algorithm - In-house built Bird’s Eye View Simulator - Spawning of traffic actors, Ego Vehicle Lateral & Longitudinal Control - Commaai’s Openpilot Drive-by-wire system- Vehicle CAN message intercepting for Steering & Gas Pedal Control

Self-driving car technology – Sensor Data Preprocessing (Camera, GPS, IMUs), Computer Vision Algorithms

Design and Development LabVIEW based Automated Test System for Special Purpose Machinery with NI DAQ system (PCI, PXI & cDAQ & cRIO) Projects - 1) Torsiograph Test Rig 2) Rigidity Test Rig 3) Modular Steering System Test Bench 4) Electro-hydraulic Actuator

Digital Information Processing , Image Coding , Optimal Control, State Estimation, Machine Learning. Final Grade (1,4) Master Thesis (Published): Development of Wireless Sensor platforms for human gait analysis for gait event detection. https://ieeexplore.ieee.org/document/8857509

DC & AC Machines, Control Systems, Microcontrollers, Analog & Digital Electronics, Advanced Power Electronics, PLC