Problem 5 Parameter Fitting for RC car (10pt) This problem introduces the BARC (Berkeley Autonomous Race Car) vehicle, which is a 101 scale RC car with an embedded Linux computer developed in the UC Berkeley MPC lab. It was designed for autonomous driving to achieve complex maneuvers such as drifting, lane changes, and obstacle avoidance. The vehicle chassis is equipped with various components such as a motor, gearbox, axles, and suspension. In this problem, you are given a data set (rc_sloped_test.mat), collected while driving straight on a slanted ramp with the drivetrain components attached (gearbox, motor, etc.). Your goal is to use this data to determine the aerodynamic drag coefficient Cd and reason about the implications of the Cd value you obtain. - =1.225kg/m3 is the mass density of air, - Mass (m) is 2kg(4.4lbs). - g=9.81m/s2. - AF is frontal area of the vehicle. Here, you can use : AF=0.03m2. 5.1 (5pt) Use linear curve fitting model (9) in problem 4 to find Cd,Rx and for the data set (rc_sloped_test .mat). - v1 is the longitudinal velocity for vehicle traveling uphill. - v2 is the longitudinal velocity for vehicle traveling downhill. - dt=0.01 sec is the sampling rate for collecting the data. 5.2 (5pt) Write your response to the following question. - Does your drag coefficient for 5.1 seem appropriate? If not, what could be the underlying factor