Rajiv Rajkumar

• Calibration of ADAS sensors of camera, LIDAR for simultaneous localization and mapping • Integration of the inertial measurement unit and global positioning system • Sensor fusion with an extended Kalman Filter in robotic operating system • Visualization of attitude and heading of the vehicle in real-time • Containerization of developed application in a docker platform

• Detection of traffic signs using machine learning models • Feature extraction and detection with RANSAC in MATLAB Computer Vision System Toolbox • Prediction of steering angles with behavioral cloning methods • Evaluation of the model accuracy in an Unity simulator • Motion estimation of objects with optical flow and template matching • Code generation using MATLAB for embedded systems

• Development of reference plant model with a state space equation of a bicycle model • Design of an optimal feedback control strategy with yaw rate and sideslip as state variables • Specified weight matrices for zero reference slip tracking and yaw rate reference tracking • Tested the designed controller in a non-linear simulation environment of Carsim

• Modeled the lateral dynamics of the vehicle in MATLAB/Simulink • Calculated the PD feedback gains for a differential brake force controller • Analyzed the system for desired closed loop natural frequency and damping ratio • Carried out Double lane change maneuver in a co-simulation environment • Varied the controller gains for optimal trajectory, slip angles, lateral acceleration and yaw rate tracking

Automotive Stability and Safety Systems, Applied Vehicle Dynamics, Power train Controls, Methods for Vehicle Testing, Noise,Vibration and Harshness, Tire behavior and its influence on vehicle performance

Vehicle Dynamics, Finite Element Methods, Solid Mechanics, Numerical Methods, Vehicle Electronics