link Origem: www.edx.org
date_range Inicia em 20 de outubro de 2022
event_note Termina em 22 de dezembro de 2022
list 10 sequencias
assignment Nível: Avançado
chat_bubble_outline Idioma : Inglês
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Informações principais

credit_card Free accesso
verified_user Certificado pago
timer 100 total de horas

Sobre o conteúdo

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.

The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms.

Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.

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Pré-requisito

ChM013x: Sensor Fusion and Non-linear Filtering for Automotive Systems

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Programa de estudos

  • A thorough understanding of multi-object tracking (MOT) and its challenge
  • Expert-level understanding of principles, theory and algorithms in modern MOT.
  • Extensive know-how for solving various MOT problems in practice.
  • Valuable experience from implementing different MOT algorithms.
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Instrutores

Lennart Svensson
Professor
Chalmers University of Technology

Yuxuan Xia
PhD
Chalmers University of Technology

Karl Granström
Perception specialist
Perception Team at Embark Trucks

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Criador do conteúdo

Chalmers University of Technology
Chalmers University of Technology
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Plataforma

Edx

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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Excelente!

Anônimo
Anônimo,
Publicada em 30 de agosto de 2021
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Excelente!