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Sustainable Marine Environment Intelligent Monitoring
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Programs:
Sustainable Marine Environment Intelligent Monitoring
Units:
32 hours
Format:
Live Online
Duration:
Jun 24 2024 ~ Jul 10 2024
Cost:
Free
Credit(s):
2
Course Description

This course focuses on the theme of "protection and sustainable utilization of oceans and marine resources to promote sustainable development". The course adopts a combination of theory and practice to introduce related technologies and typical applications of ocean intelligent autonomous monitoring. Typically, the course includes unmanned surface vehicle(USV),unmanned aerial vehicle(UAV), autonomous underwater vehicle(AUV), and related algorithms for data processing. After successfully completing this course, students are able to:

  • have a comprehensive and preliminary understanding of the field of sustainable ocean intelligence autonomous monitoring. 
  • understand and master the overall architecture and key technologies of the three important autonomous systems of USV, UAV, and AUV. 
  • implement basic ocean intelligent autonomous monitoring system with programming software.

Relevant SDGs: Goal 14: Conserve and sustainably use the oceans, seas and marine resources

Academic Team

PI:

  • GAO Rui, Assistant Professor, rgao@sjtu.edu.cn
  • WANG Jian, Assistant Research Fellow, nsms_sjtu@sjtu.edu.cn

Collaborators:

What skills will students get?
  1. Understand the meaning of autonomous monitoring of ocean intelligence, explain the key technologies of autonomous systems such as unmanned surface vehicle(USV),unmanned aerial vehicle(UAV), autonomous underwater vehicle(AUV).
  2. Exploit unmanned system technology to analyze and solve practical problems of sustainable ocean intelligent autonomous monitoring.
  3. Understand the basic algorithms of intelligent autonomous system.
Mode of Teaching

Lectures & Discussion & Exercises & Project demos

Grading
  1. Attendance: 30%;
  2. Group Discussion: 30%;
  3. Final Group Presentation: 40%
Course-specific Restrictions

None.

Class Schedule

Course Contact

GAO Rui, rgao@sjtu.edu.cn

Instructors
Rui Gao
Assistant Professor at the School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University
Jian Wang
Assistant Research Fellow at the School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University
Howard Li
professor in the Department of Electrical and Computer Engineering, University of New Brunswick
Zhaobo Zheng
a senior scientist at Honda Research Institute USA, Inc (HRI) located in San Jose
Ruggiero Fabio
an Associate Professor of Automatic Control and Robotics in the Department of Electrical Engineering and Information Technology at the University of Naples Federico II
Siegwart Roland
full Professor of Autonomous Systems
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