COMPUTER VISION FOR VEHICLES
cod. 1006652

Academic year 2021/22
2° year of course - Second semester
Professor
- Paolo MEDICI
Academic discipline
Sistemi di elaborazione delle informazioni (ING-INF/05)
Field
A scelta dello studente
Type of training activity
Student's choice
48 hours
of face-to-face activities
6 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

The course aims to examine various image processing algorithm focused on the perception for a "smart" vehicle.
The student will learn problems related to image processing for vehicles and in the laboratory will implement algorithms that are normally used for security and to allow the autonomous navigation of a vehicle .

Prerequisites

A basic knowledge of image processing, C ++ programming, linear algebra and numerical calculation is required.

Course unit content

Inside the course will be presented and implement some agoritmi of image processing for vehicles: lane detection, detection, classification and tracking of obstacles and visual odometry. These algorithms are part of the group of "Advanced driver assistance systems" that will allow in the future to develop fully autonomous intelligent vehicles.

Full programme

- Introduction to the framework of image processing
- Vehicle Issues
- Vehicle Sensors
- Data Fusion
- Sensor Calibration
- Visual Odometry
- Lane Detection
- Identifying obstacles
- FreeSpace, Occupacy Grid and Stixels
- Visual Self Localization and Visual SLAM

Bibliography

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Teaching methods

The main topics of the course will benefit from laboratory activities and demonstations.

Assessment methods and criteria

Written test and a project.

Other information

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