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学生对 University of Toronto 提供的 State Estimation and Localization for Self-Driving Cars 的评价和反馈

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课程概述

Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to: - Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares - Develop a model for typical vehicle localization sensors, including GPS and IMUs - Apply extended and unscented Kalman Filters to a vehicle state estimation problem - Understand LIDAR scan matching and the Iterative Closest Point algorithm - Apply these tools to fuse multiple sensor streams into a single state estimate for a self-driving car For the final project in this course, you will implement the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator. This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws)....

热门审阅

TM

Jun 11, 2024

This is an eye-opening course on how to utilize statistical analysis for engineering applications, and in particular, autonomous systems, as such it is very useful and captivating course!!!

RL

Apr 26, 2019

It provides a hand-on experience in implementing part of the localization process...interesting stuff!! Kind of time-consuming so be prepared.

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76 - State Estimation and Localization for Self-Driving Cars 的 100 个评论（共 136 个）

创建者 Felipe M G

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Oct 26, 2020

This is a excellent course with great proffesors

创建者 Varun J 1

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May 13, 2020

Indeed one of the best courses here at Coursera!

创建者 Ansh S

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Aug 13, 2020

Amazing specialisation to get aquainted to SLAM

创建者 ER G D

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Mar 23, 2021

Very informative course. I really enjoyed it!

创建者 DHAYAPULLESAIPAVAN R

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May 26, 2021

nice but,some part are not clearly explained

创建者 José C I G Z

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Dec 9, 2020

Awesome course and very challenging!

创建者 刘宇轩

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Apr 24, 2019

The projects are useful enough

创建者 shridhar v

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Jun 8, 2020

Kalman filter was interesting

创建者 张志萌

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Mar 8, 2022

very good course. Thank you

创建者 Vishwas N

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Apr 29, 2020

very nicely crafted course

创建者 Muneeb J m

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Feb 1, 2025

it was good experience

创建者 Johnnylee

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May 16, 2022

课程内容很充实又有意义，希望有准确的中文字幕

创建者 Seyed M A S

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Mar 1, 2024

It was a great course

创建者 Luis E T R

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Sep 13, 2020

An outstanding course

创建者 Sujeet B

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Dec 7, 2020

Lot's of learning...

创建者 Davi B

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Sep 25, 2022

Excelente curso!

创建者 Bao N

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May 28, 2020

Many many thanks!

创建者 MIHIR R J

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May 29, 2020

Very Infomative!

创建者 mert s

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Oct 31, 2019

excellent course

创建者 Satwik C

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Nov 3, 2023

Good course

创建者 Adam A A

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Mar 2, 2021

just pefect

创建者 ILYESS D

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Aug 5, 2024

good cours

创建者 Arturo A E O

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Sep 2, 2020

excelente

创建者 Cesar Q

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Oct 15, 2021

Love it!

创建者 Matías F

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Jan 18, 2021

amazing!