ADITYA GOPINATH

864-***-**** adjwxv@r.postjobfree.com https://www.linkedin.com/in/aditya-gopinath/ Greenville, SC

EDUCATION

Clemson University Greenville, SC

Master of Science in Automotive Engineering, GPA: 3.5/4.0 08/2018 – 08/2020

Relevant Coursework: Perception, State Estimation and Tracking, Automotive Controls, Systems Integration

VIT University Vellore, India

Bachelor of Technology in Mechanical Engineering, GPA: 8.2/10 08/2014 – 08/2018

PROFESSIONAL EXPERIENCE

Clemson University Greenville, SC

Research Assistant 10/2020 – Present

●Augmented state of the art SLAM methods with artificial markers (April Tags) to enhance performance and reliability of algorithms.

●Simulated improved algorithm in gazebo with different noise parameters to evaluate robustness.

●Achieved improvement in APE (Absolute Pose Error) from original system by a factor of 0.5.

Clemson University Greenville, SC

Deep Orange 11 Autonomous Driving Team – Perception and Localization Engineer 06/2018 – 08/2020

●Produced a prototype autonomous vehicle for the year 2035 that is sustainable by design.

●Designed lidar and camera data fusion strategy and perception algorithms using C++ for object localization.

●Created 3D image reconstruction of vehicle surroundings by fusing camera and lidar data.

ACADEMIC PROJECTS

Retrofitting Mazda Cx-7 for Autonomous Functionality 08/2020

●Integrated a 2007 Mazda CX-7 with a full sensor suite for autonomous navigation and obstacle avoidance.

●Achieved Vehicle localization using a unique sensor fusion technique that fused the Lidar, IMU and GPS sensors.

Sensor Fusion of Lidar and Radar for Object Tracking 07/2020

●Integrated simulated Lidar and radar data using an Unscented Kalman Filter (UKF).

●Utilized PCL and Eigen libraries to visualize the vehicle and object point cloud as well as design the UKF, respectively.

●Achieved object localization around the vehicle within a RMSE value of 0.95 from the ground truth.

Integration of Simulation Platforms 12/2019

●Integrated two novel simulation platforms, Auto ware and Pre-scan, using ROS as middleware.

●Replicated hazardous scenarios without real-time testing (Software in Loop Testing).

●Published journal paper in SAE WCX world conference held in April 2020.

Development of Autonomous Platform for Bosch 11/2018

●Developed an autonomous F1 tenth vehicle using Arduino micro-controller and ultrasonic sensors.

●Utilized Kalman filter to fuse multiple sensors and a simple PID controller to implement lane following.

ADDITIONAL INFORMATION

●Technical Skills: MATLAB and Simulink, Python, ROS, C, C++, Git, Bash, OpenCV, PCL, Eigen, Autoware.ai, Linux, MS Office, SolidWorks

●Online Courses and Certificates: Udacity: Intro to Self-Driving Cars (Nanodegree program), Udacity: Sensor fusion for Self-Driving Vehicles (Nanodegree Program).

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