Engaging Students in an Automotive Autonomy Sensor Processing Class: Incorporating active learning and high-fidelity, physics-based autonomy simulation into class projects

Abstract

Modern signal processing (SP) classes should provide a balance between theory and application as well as use active learning exercises to engage students and facilitate learning. A new sensor processing course, Sensor Processing for Autonomous Vehicles (SPAV), was designed with two specific objectives: 1) to successfully engage students using active and collaborative learning and 2) integrate a state-of-the-art, physicsbased autonomy simulator into the class.