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学生对 University of Toronto 提供的 Motion Planning for Self-Driving Cars 的评价和反馈

4.8
484 个评分

课程概述

Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws. You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times. For the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection. You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment. This is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration)....

热门审阅

KN

Nov 30, 2020

If not online and self-paced, I would not have the courage to attempt this advanced-level Self-Driving Program. Thanks UoT and the instructors for offering such high-quality courses to the public. 👍😊

YD

Feb 4, 2020

The course is very good for the basic knowledge of self driving. There are a lot of good examples of different parts. I have learned a lot from it. Thank you for your excellent job!

筛选依据:

51 - Motion Planning for Self-Driving Cars 的 75 个评论(共 89 个)

创建者 Liton S

Aug 2, 2020

Excellent and Practical Concepts

创建者 Narmatha S

Apr 6, 2023

very informative and useful one

创建者 Davood D

Dec 25, 2023

very great course. thank you

创建者 VIPUL N

Nov 28, 2020

difficult but interesting

创建者 ANUMALA S

Jun 4, 2021

course is exceptional

创建者 Luis A C R

May 28, 2021

Excellent course!!

创建者 MIHIR R J

Jun 13, 2020

Quite Informative!

创建者 anis

May 24, 2020

simply , the best!

创建者 Ramyashree A H

May 29, 2020

Wonderful course

创建者 Soumyajit M

Oct 9, 2020

Great Course

创建者 Akib C

Aug 24, 2020

Thanks a lot

创建者 cheedella v k

Jan 29, 2023

Best Course

创建者 ILYESS D

Aug 5, 2024

good cours

创建者 Pavel S

Nov 24, 2023

Perfect!

创建者 Vatsal S

May 13, 2022

loved it

创建者 Matías F

Jan 18, 2021

amazing!

创建者 Mohammadreza T F

Sep 21, 2022

awesome

创建者 AmirHossein H

May 9, 2019

perfect

创建者 Yusuf O Y

Dec 26, 2020

Thanks

创建者 Jeff D

Nov 28, 2020

Thanks

创建者 Md. R Q S

Aug 20, 2020

great

创建者 01fe21bec413

Mar 21, 2024

Good

创建者 NADIKOTA R S S

Apr 3, 2022

good

创建者 Miguel P M

Jan 16, 2021

The final project could've been a little shorter in terms of complexity and rather specific sub exercises regarding each module could've been planned. This is because most of the TODOs were pretty self explanatory and left little margin for putting hands on workin on path optimization, etc. I understand and agree this is very difficult to plan out, and I take away from this specialization a great deal, though!

创建者 Sean B

Oct 1, 2020

Excellent material and there is a ton of supplemental links to check out. Many of the assignments do not have intermediate checks so debugging is a challenge. Also there is very little active support, there aren't any instructors active in the forums currently so I had to rely on old discussion posts. Still, I made it through with a large new skill set to show for it.