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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 Signal Processing Magazine ( IF 14.9 ) Pub Date : 2021-04-28 , DOI: 10.1109/msp.2021.3054327
John Ball , Jean Mohammadi-Aragh , Christopher Goodin

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.

中文翻译:

让学生参加汽车自主传感器处理课程:将主动学习和基于物理的高保真自主模拟纳入课程项目

现代信号处理(SP)课程应在理论和应用之间取得平衡,并使用积极的学习练习来吸引学生并促进学习。设计了一个新的传感器处理课程,即“自动车辆传感器处理(SPAV)”,其目标是两个:1)通过主动和协作学习成功地吸引学生; 2)将基于物理的最先进的自主模拟器集成到班上。
更新日期:2021-04-30
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