Politecnico di Milano
Manifesti degli Studi
 
Menu
Degree programme
Programme Structure
Show/Search Programme
Course Details
Save Document
Degree Programme
Read Degree Programme
Faculty
Infrastructures
Quantitative data
International context
Customized Schedule
Your customized time schedule has been disabled
Enable
Your customized schedule contains 0/15 courses
Delete schedule
Search
Search a Professor
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English
Exit

Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Degree ProgrammesCambia LinguaCambia Lingua
Course Details

Context
Academic Year 2015/2016
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (481) Computer Science and Engineering
Track T2A - COMPUTER SCIENCE AND ENGINEERING
Programme Year 2

Course Details
ID Code 098771
Course Title UNMANNED AUTONOMOUS VEHICLES IN AIR, LAND AND SEA
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester --
Course Description The course presents the knowledge required to better understand the commonalities and specificities of unmanned autonomous vehicles design in the different domains of air, land,and sea. To provide a common base to better understand the specificities induced by the particular domain, the course will provide basic knowledge about the generai tools and common components which are involved in the design of an unmanned autonomous vehicle . After an initial introduction of the current state of the art and potential applications of unmanned autonomous vehicles the course will introduce: - the most common vehicle kinematic and dynamic models; - the fundamentals on path/trajectory and mission planning; - the fundamentals on vehicle model identification and state estimation; - the most common sensors for vehicle localization, controI, obstacle avoidance; - the fundamentals of model predictive contro applied to vehicle trajectory tracking, stabilization and obstacle avoidance The previous topics will be complemented by a description of a complete application case study for each domain (air, marine and land) with the purpose to highlight how each of the components has been applied or it has required some specific adaptation to cope with its peculiarity. In particular we will discuss applications in the following domain - air: fixed wing and rotary unmanned aerial vehicles; - land: off-road unmanned vehicles; - sea : surface and underwater unmanned vehicles. Current trends and future applications will be presented and discussed in a final panel with people from academia and industry.

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZBascetta Luca
23/04/2019 Area Servizi ICT v. 2.11.10 / 2.11.10