Electronic engineering for intelligent vehicles

Professors: Luca CONSOLINI; Marco LOCATELLI
Academic discipline: Automatica (ING-INF/04)
Field: A scelta dello studente
Type of training activity: Related/supplementary

60 hours
of face-to-face activities

6 credits

hub: PARMA

course unit
in ENGLISH

lectures timetable unavailable

exam calls

Learning objectives

The student should be able to formalise, with suitable mathematical models, trajectory and path planning problems. Moreover, the student should also acquire the basic knowledge about possible solution algorithms for such models

Prerequisites

Basic knowledge of geometry and linear algebra. Basic knowledge about algorithms and data structures.

Course unit content

Graphs. Optimization problems. Optimization algorithms. Path and speed planning problems.
Kinematic and dynamic road vehicles models.
Trajectory planning and control problems for road vehicles.

Full programme

Introduction on graphs: basic concepts and algorithms

- Optimization problems with single and multiple objectives with an introduction to mathematical programming models

- Solution algorithms: branch-and-bound and dynamic programming methods

- Speed planning problems as optimization problems: mathematical models and solution approach

Basic road vehicles modeling

- Some elements of modeling for mechanical systems

- Kinematic models

- Simple models of engines, brakes, tyres, and suspensions

- Dynamic models

Some planning problems for road-vehicles

- Trajectory planning and optimization

- Speed planning with energy constraints

- Planning with dynamic constraints

Bibliography

Extended slides made available by the professor

Teaching methods

Lectures in the classroom with exercises and lab sessions

Assessment methods and criteria

Written exam

Other information

No further information

2030 agenda goals for sustainable development

Yes

PATH AND TRAJECTORY PLANNING cod. 1010754