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Motion Planning for Self-Driving Cars
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Motion Planning for Self-Driving Cars

Master autonomous vehicle motion planning: from mission planning to behavior planning and local trajectory optimization. Industry-focused course.

Course Cost

Free course

Advanced

Skill Level

27 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Self-Driving Cars Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.8

39,485 Enrolled

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English

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olive-leaves-logo

4.8

39,485 Enrolled

olive-leaves-logo

English

What you'll learn

  • Implement shortest path algorithms for mission planning

  • Develop behavior planning systems for autonomous vehicles

  • Master occupancy grid mapping for environment representation

  • Create smooth trajectory optimization solutions

  • Design collision-free path planning algorithms

  • Build complete motion planning systems for self-driving cars

Skills you'll gain

Motion Planning
Autonomous Vehicles
Path Planning
CARLA Simulator
Robotics
Algorithm Development
Occupancy Grids
Trajectory Optimization
Self-Driving Cars
Vehicle Control

This course includes:

5.9 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 8 modules in this course

This comprehensive course focuses on the fundamental aspects of motion planning for autonomous vehicles. Students learn to develop complete planning solutions, from mission planning and behavior selection to local trajectory generation. The curriculum covers essential topics including occupancy grid mapping, shortest path algorithms, dynamic object interactions, and smooth trajectory optimization. Through hands-on programming assignments and simulation work in CARLA, participants develop practical skills in implementing real-world autonomous driving systems.

Welcome to Course 4: Motion Planning for Self-Driving Cars

Module 1 · 1 Hours to complete

Module 1: The Planning Problem

Module 2 · 1 Hours to complete

Module 2: Mapping for Planning

Module 3 · 5 Hours to complete

Module 3: Mission Planning in Driving Environments

Module 4 · 4 Hours to complete

Module 4: Dynamic Object Interactions

Module 5 · 2 Hours to complete

Module 5: Principles of Behaviour Planning

Module 6 · 2 Hours to complete

Module 6: Reactive Planning in Static Environments

Module 7 · 2 Hours to complete

Module 7: Putting it all together - Smooth Local Planning

Module 8 · 10 Hours to complete

Fee Structure

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Motion Planning for Self-Driving Cars

Advanced

Skill Level

27 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.