Velocity and Acceleration

Jeff O'Connell
Stanford University
2019

In the Dynamic Design Lab at Stanford, their self-driving race cars collect over 8000 pieces of data every second which comes to almost 1,000,000 pieces of data per lap on the track. They collect data on everything from Position, Velocity and Acceleration (in all 3 axes), to torque, throttle and brake pressure.

In this phenomenon based exercise, students will look at plots of the data generated by these self-driving race cars along with video of the data being created to begin to see relationships between velocity and acceleration.

Funders

Stanford University