Undergraduate Research Project

' This project analyze the optimal fuel economy of hybrid powertrain over FTP driving cycle. Both combustion engine and electric motor data are collected from engine dynamometer test. '

• Collect both electric motor and combustion engine data from engine dynamometer in Clemson University CU-ICAR campus.

• Generate traction force map for both combustion engine and electric motor.

• Find optimal shift line and gear selection for combustion engine in FTP driving cycle.

• Analyze optimal fuel economy in MATLAB using dynamic programming.

' This project was designed for undergraduate student to build a autonomous drone that can satisfy the following functions: 1. Vision-based Navigation 2. Collision-free Navigation 3. Object detection and identification 4. 3D point cloud mapping '

• Build low-level communication based on PX4, QGROUNDCONTROL, MAVLink and ROS.

• Build 3D point cloud mapping using Intel realsense D435i RGBD camera

• Conduct flight simulation in Gazebo environment.

• Implement B-spline as trajectory optimization.