Automatisering

 

Autonomous – Advanced Driver Assistance Systems
Multi-Object Tracking for Automotive Systems (offered by Chalmers)

Learn how to localize and track dynamic objects with a range of applications including autonomous vehicles.

Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment.

In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters.

The course builds and expands on concepts and ideas introduced in CHM013x: "Sensor fusion and nonlinear filtering for automotive systems". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris.

För vem: Avancerad nivå
Längd: 10 veckor (Förslag: 10-20 timmar/vecka)
Start: 20 augusti
Språk: Engelska
Kostnad: Gratis


Autonomous – Advanced Driver Assistance Systems
Sensor Fusion and Non-linear Filtering for Automotive Systems (offered by Chalmers)

Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems.

In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors.

The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox.

The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.

Längd: 6 veckor (Förslag: 10-20 timmar/vecka)
Start: 15 september
Språk: Engelska
Kostnad: Gratis


Autonomous – Advanced Driver Assistance Systems
Model-Based Automotive Systems Engineering (offered by Chalmers)

Learn how to model and simulate system dynamics in automotive engineering.

Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications.

You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important role throughout the course.

För vem: Advanced level. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.
Längd: 7 weeks (Suggested: 10-20 hours/week)
Start: 8 September
Språk: Engelska
Kostnad: Gratis


Autonomous – Advanced Driver Assistance Systems
Decision-Making for Autonomous Systems (offered by Chalmers)

Learn effective tactics for making key decisions when working with autonomous, self-driving vehicles.

In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles.

This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems.

För vem: Advanced level. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems.
Längd: 6 weeks (Suggested: 10-20 hours/week)
Start: 15 September
Språk: Engelska
Kostnad: Gratis


Traffic Safety
Road Traffic Safety in Automotive Engineering (offered by Chalmers)

Learn the fundamentals of passive and active safety in automotive engineering.

Engineers in the automotive industry are required to understand basic safety concepts. With increasing worldwide efforts to develop connected and self-driving vehicles, traffic safety is facing huge new challenges.

This course teaches the fundamentals of active safety (systems for avoiding crashes or reducing crash consequences) as well as passive safety (systems for avoiding or reducing injuries). Key concepts include in-crash protective systems, collision avoidance, and safe automated driving. The course will introduce scientific and engineering methodologies that are used in the development and assessment of traffic safety and vehicle safety. This includes methods to study the different components of real-world traffic systems with the goal to identify and understand safety problems and hazards. It includes methods to investigate the attitudes and behavior of drivers and other road users as well as recent solutions to improve active safety. It also includes methods to study human body tolerance to impact and solutions to minimize the injury risk in crashes.

Study topics include crash data analysis and in-situ observational studies of drivers and other road users by the use of instrumented vehicles and roadside camera systems. Solutions in active safety, such as driver alertness monitoring, driver information as well as collision avoidance and collision mitigation systems, will be described. Examples of in-crash protective systems are combinations of traditional restraints such as seat belts and airbags but with advanced functions such as automatic adaption to the individual occupant as well as pre-collision activation based on advanced integrated sensor systems and communication systems.

För vem: Advanced level. This course is for students or professionals who have a bachelor's degree in mechanical engineering or similar and who are interested in a future in the vehicle industry or in road design and traffic engineering. It's also of value for people already working in these areas who want better insight into safety issues.
Längd: 7 weeks (Suggested: 10-20 hours/week)
Start: 15 September
Språk: Engelska
Kostnad: Gratis


Autonomous - Future transport
Transport Systems: Global Issues and Future Innovations

What are the challenges faced by today’s transport sector? How can transport professionals develop systems that meet the needs of the 21st century?

Get answers to these questions and more with this course exploring the future of transport. You will learn about effective transport planning and modelling, considering how transport solutions can become sustainable, reduce pollution and improve the health and safety of people across the world.

You will also consider how technologies such as connected and autonomous vehicles and high-speed rail might address global issues.

För vem: This course is for undergraduate students and mid-career professionals interested in a career in the transport industry.
Längd: 2 veckor, föreslaget 4 timmars studier/vecka
Start: När som helst
Språk: Engelska
Kostnad: Gratis