cod. 1006652

Academic year 2016/17
2° year of course - Second semester
Academic discipline
Sistemi di elaborazione delle informazioni (ING-INF/05)
A scelta dello studente
Type of training activity
Student's choice
42 hours
of face-to-face activities
6 credits
hub: PARMA
course unit
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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 .


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
- Lane Detection
- Classification and Deep Learning
- Identifying obstacles
- Tracking
- Sensor Fusion
- Visual Odometry


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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. Practial Test.

Other information

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