Results of the summarizing process for the arXiv paper: 2102.07900v1

In their paper titled "Engineering Education in the Age of Autonomous Machines," authors Shaoshan Liu, Jean-Luc Gaudiot, and Hironori Kasahara address the significant supply-demand gap for autonomous driving engineers. They highlight that the challenge lies in the fact that autonomous driving is not a single technology but rather a complex system that integrates various technologies. As a result, no single academic department can provide comprehensive education in this field. To bridge this gap, the authors propose the creation of a cross-disciplinary program that exposes students with technical backgrounds in computer science, computer engineering, electrical engineering, and mechanical engineering to autonomous driving. This program aims to provide students with a solid foundation in the diverse range of technologies involved. Additionally, the authors emphasize the importance of hands-on experience by suggesting a capstone project where students work with real autonomous vehicles. This practical component would allow students to apply their theoretical knowledge and further consolidate their technical skills. Overall, this paper advocates for an interdisciplinary approach to engineering education in order to meet the growing demand for skilled professionals in autonomous driving. By combining technical expertise from multiple disciplines and providing practical experiences such as working with real autonomous vehicles through capstone projects, educational institutions can better prepare students for careers in this rapidly evolving field.

• Supply-demand gap for autonomous driving engineers
• Autonomous driving is a complex system integrating various technologies
• No single academic department can provide comprehensive education in this field
• Proposal for a cross-disciplinary program to expose students to autonomous driving
• Aim of the program is to provide a solid foundation in diverse range of technologies
• Emphasis on hands-on experience through capstone project with real autonomous vehicles
• Advocacy for interdisciplinary approach in engineering education
• Importance of combining technical expertise from multiple disciplines
• Practical experiences prepare students for careers in rapidly evolving field

Engineering Education in the Age of Autonomous Machines

The rapid development of autonomous driving technology has created a significant supply-demand gap for engineers with specialized knowledge and skills. In their paper titled "Engineering Education in the Age of Autonomous Machines," authors Shaoshan Liu, Jean-Luc Gaudiot, and Hironori Kasahara address this challenge by proposing an interdisciplinary approach to engineering education that can better prepare students for careers in this rapidly evolving field.

Autonomous Driving is a Complex System

The authors highlight that autonomous driving is not a single technology but rather a complex system that integrates various technologies from computer science, computer engineering, electrical engineering, and mechanical engineering. As such, no single academic department can provide comprehensive education in this field. To bridge this gap, the authors propose the creation of a cross-disciplinary program that exposes students with technical backgrounds to autonomous driving. This program would provide students with a solid foundation in the diverse range of technologies involved.

Hands-On Experience is Essential

In addition to theoretical knowledge, hands-on experience is essential for preparing students for successful careers in autonomous driving. The authors suggest incorporating capstone projects into the curriculum where students work with real autonomous vehicles as part of their coursework. This practical component would allow them to apply their theoretical knowledge and further consolidate their technical skills.

Conclusion

Overall, this paper advocates for an interdisciplinary approach to engineering education in order to meet the growing demand for skilled professionals in autonomous driving. By combining technical expertise from multiple disciplines and providing practical experiences such as working with real autonomous vehicles through capstone projects, educational institutions can better prepare students for careers in this rapidly evolving field.