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

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 l...Show More

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.
Published in: IEEE Signal Processing Magazine ( Volume: 38, Issue: 3, May 2021)
Page(s): 122 - 132
Date of Publication: 28 April 2021

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