State Estimation and Localization for Self-Driving Cars(으)로 돌아가기

# 토론토 대학교의 State Estimation and Localization for Self-Driving Cars 학습자 리뷰 및 피드백

4.7
별점
676개의 평가
112개의 리뷰

## 강좌 소개

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)....

## 최상위 리뷰

JC
2021년 2월 9일

The course is informative and well constructed for learners. The final project is designed well so that we can build sensor fusion tools while applying what we have learned from this course.

WS
2019년 10월 13일

There are many interesting topics. Without the help and suggested readings from this course, I wouldn't be able to finish by myself. Also, the final project is very enlightening.

필터링 기준:

## State Estimation and Localization for Self-Driving Cars의 111개 리뷰 중 51~75

교육 기관: Zaihao W

2020년 1월 17일

This is the best course that can give me a in-depth understanding on Kalman Filter.

교육 기관: PAMARTHI K

2020년 9월 29일

Very Good Lectures and as well as Presentations Thank you for offering this course

교육 기관: Karthik B K

2019년 6월 29일

Really Advanced and Challenging Course with great scope of gaining knowledge.

교육 기관: Mehran R

2020년 9월 15일

It requires a bit of external studying, but in general, it's a great course.

교육 기관: huseyin t

2021년 2월 14일

교육 기관: Levente K

2019년 3월 1일

Sometimes hard, but still pretty much fun to solve all the problems :)

교육 기관: 380 F V R S

2020년 10월 15일

I had an amazing experience got to learn new things from this course

교육 기관: Ahmed E

2020년 4월 12일

This course was very useful. It will significantly help in my career

교육 기관: Stefan M

2019년 8월 15일

From my point of view a very interesting and well prepared course.

교육 기관: Kosinski K

2020년 5월 25일

The great course! Very good presentations and nice projects.

교육 기관: PAPPU S V T

2020년 11월 13일

Great Experience. I had learned some much from this course.

교육 기관: UMAR T

2020년 3월 4일

The last assignment for this module is very challenging.

교육 기관: Akash B

2020년 6월 16일

Course was good, need more guidance for calculations.

교육 기관: Guillermo P G

2020년 5월 13일

Amazing course, congratulations, I have learnt a lot!

교육 기관: jinglong

2020년 5월 27일

very nice tutorials for autonomous driving beginner.

교육 기관: PRASHANT K R

2019년 10월 8일

it's really nice, and amazing course. I enjoyed it

교육 기관: Felipe M G

2020년 10월 26일

This is a excellent course with great proffesors

교육 기관: Varun J

2020년 5월 13일

Indeed one of the best courses here at Coursera!

교육 기관: Ansh S

2020년 8월 14일

Amazing specialisation to get aquainted to SLAM

교육 기관: ER G D

2021년 3월 23일

Very informative course. I really enjoyed it!

교육 기관: DHAYAPULLESAIPAVAN R

2021년 5월 26일

nice but,some part are not clearly explained

교육 기관: Jose C I G Z

2020년 12월 9일

Awesome course and very challenging!

교육 기관: 刘宇轩

2019년 4월 25일

The projects are useful enough

교육 기관: Shridhar N V

2020년 6월 8일

Kalman filter was interesting

교육 기관: Vishwas N

2020년 4월 29일

very nicely crafted course