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David Kleinz
“In 20 years driving a traditional car will feel like riding a horse on the highway today.”
The development of autonomous cars is changing not only the way we buy and use cars, but also our cities, economy, society, the environment and our way of life in general.
Talking to friends, family and business partners, I noticed a great interest in the subject, which includes concepts such as fully autonomous cars, vehicles and driving as well as self-driving, driverless, automated and robot cars.
Read more
“In 20 years driving a traditional car will feel like riding a horse on the highway today.”
The development of autonomous cars is changing not only the way we buy and use cars, but also our cities, economy, society, the environment and our way of life in general.
Talking to friends, family and business partners, I noticed a great interest in the subject, which includes concepts such as fully autonomous cars, vehicles and driving as well as self-driving, driverless, automated and robot cars.
Read more
“In 20 years driving a traditional car will feel like riding a horse on the highway today.”
The development of autonomous cars is changing not only the way we buy and use cars, but also our cities, economy, society, the environment and our way of life in general.
Talking to friends, family and business partners, I noticed a great interest in the subject, which includes concepts such as fully autonomous cars, vehicles and driving as well as self-driving, driverless, automated and robot cars.
If you are a motorist or generally interested in autonomous cars, what they are, how they work and influence us, this course will give you exciting insights into the race to autonomous cars and prepare you for what's coming.
Major questions which will be answered for you are the following:
·
·
·
·
·
I will be contributing my 7 years of experience at Continental, where I was deeply involved in research and development of Advanced Driving Assistance, Vehicle Dynamics, Intra Vehicle and Vehicle2X Communication Systems. Enriched by the autonomous driving study I did during my MBA, I will show you what matters and what doesn't.
Each video is produced in English, avoiding deep technical terms and explanations. Anyone with a general education should be able to follow.
Just like the race to the moon, the race to fully autonomous driving was started. On the one hand, we have a development driven by traditional players such as Audi / Volkswagen, BMW, Mercedes, Volvo, Ford, GM, Toyota. On the other hand, start-ups like Google / Waymo, Uber, Cruise and Byton and other disruptive players invest to beat them in a revolutionary way.
Instead of rockets and spacecrafts, the race will be decided by acoustics, camera, radar, laser/lidar sensors and algorithms using deep learning and closed loop theory.
The goal is a multi-trillion-dollar mobility as a service market that not only changes the industry, but everything from personal to everyone's life.
Join the race and see you inside the course. You'll enjoy it.
Register for this course and see more details by visiting:
OpenCourser.com/course/bh5onl/autonomous
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What's inside
Learning objectives
- Estimate costs of future mobility options.
- See challenges from a development perspective.
- Explain how autonomous cars perceive and think.
- Reconstruct latest developments and upcoming trends.
- Determine when to get safe and legal autonomous cars.
- Assess the impact of autonomous cars on society, economy and live.
- Estimate costs of future mobility options.
- See challenges from a development perspective.
- Explain how autonomous cars perceive and think.
- Reconstruct latest developments and upcoming trends.
- Determine when to get safe and legal autonomous cars.
- Assess the impact of autonomous cars on society, economy and live.
Syllabus
Welcome!
What will you learn?
Who is David?
What are autonomous cars?
Read more
Syllabus
Welcome!
What will you learn?
Who is David?
What are autonomous cars?
Read more
What does level 0-5 mean?
When can I get one?
Who is first?
Is it legal?
How is the course?
Is it safe?
How do car accidents happen?
How do humans fail?
How do cars fail?
Why do cars fail?
How do cars get safer?
How do autonomous cars work?
How do cars perceive?
How do cars hear?
How do cars see?
Cameras?
Radars?
Lasers?
How do cars think?
How do cars communicate?
How do cars recognize?
How do cars orientate?
How do cars plan?
How will it impact us?
Will the infrastructure change?
Will it help the environment?
What does it cost?
Nap in the car?
Own car?
Thank you!
WHAT'S NEXT?
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by David Kleinz, who has 7 years of experience at Continental in advanced driving assistance and autonomous car development
Suitable for general audiences, including motorists and those interested in the impact of autonomous cars on society
Explores the latest developments and upcoming trends in autonomous car technology
Covers essential concepts such as how autonomous cars perceive, think, communicate, and impact society
Provides insights into the potential costs and benefits of autonomous cars
Requires some general education to follow, but avoids deep technical details
Save this course
Save Autonomous Cars: How Do They Work and Impact Us? to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Autonomous Cars: How Do They Work and Impact Us? with these
activities:
Review the history and evolution of autonomous car technology
Show steps
Gain a historical perspective on autonomous car technology.
Browse courses on
Autonomous Cars
Show steps
-
Read articles and watch documentaries about the early development of autonomous cars
-
Visit a museum or historical exhibit on transportation
Review key concepts of control theory and vehicle dynamics
Show steps
Strengthen your foundational knowledge of control theory and vehicle dynamics.
Browse courses on
Autonomous Cars
Show steps
-
Review notes and textbooks from previous courses or online resources
-
Solve practice problems and coding challenges
-
Attend a workshop or webinar on control theory and vehicle dynamics
Organize a study group with fellow students to discuss course concepts and projects
Show steps
Enhance your understanding of autonomous cars by discussing and collaborating with peers.
Browse courses on
Autonomous Cars
Show steps
-
Recruit a group of students who are also taking the course
-
Set regular meeting times and locations
-
Create a study schedule that covers course material and assignments
-
Facilitate discussions and activities that delve deeper into course concepts
-
Support each other's learning by sharing knowledge, insights, and resources
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice problems and coding challenges related to autonomous car technology
Show steps
Solidify your understanding of autonomous car technology by practicing problem-solving and coding skills.
Browse courses on
Autonomous Cars
Show steps
-
Find online resources or textbooks that provide practice problems and coding challenges
-
Set aside regular time to solve these problems and challenges
-
Review your solutions and identify areas for improvement
-
Seek help from peers, instructors, or online forums when needed
-
Use your newfound knowledge to contribute to open-source projects or your own autonomous car projects
Develop a presentation on the potential impact of autonomous cars on society
Show steps
Research and analyze the potential impacts of autonomous cars on society, and present your findings.
Browse courses on
Society
Show steps
-
Research the current state of autonomous car technology
-
Identify and analyze potential impacts on various aspects of society, such as employment, transportation, and safety
-
Develop a persuasive presentation that clearly communicates your findings and insights
-
Present your presentation to a group of peers or community members and answer questions
Build a self-driving car using the open source CARLA simulator
Show steps
Build a self-driving car and put into practice the concepts learnt in the course.
Browse courses on
Autonomous Cars
Show steps
-
Install the CARLA simulator and create a basic environment
-
Create a simple autonomous vehicle controller that can follow a set path
-
Add sensors to the vehicle and implement basic perception algorithms
-
Use reinforcement learning to train the vehicle to navigate more complex environments
-
Evaluate the performance of your self-driving car and write a report on your findings
Follow tutorials on deep learning and computer vision techniques used in autonomous car development
Show steps
Deepen your understanding by exploring advanced topics and techniques used in autonomous car development.
Browse courses on
Deep Learning
Show steps
-
Find reputable online tutorials or courses on deep learning and computer vision
-
Follow the tutorials and complete the exercises and assignments
-
Apply the techniques you learn to your own projects or experiments
-
Share your learning and progress with others through online discussion forums or social media
Design and develop a prototype of a novel autonomous car feature
Show steps
Apply your learning to create a tangible demonstration of your understanding and skills.
Browse courses on
Autonomous Cars
Show steps
-
Identify an innovative feature that could enhance the capabilities of autonomous cars
-
Design and create a mock-up of the feature
-
Develop a prototype that demonstrates the functionality of the feature
-
Test and evaluate the prototype and make necessary improvements
-
Present your prototype to your peers or instructors and provide a demonstration
Review the history and evolution of autonomous car technology
Show steps
Gain a historical perspective on autonomous car technology.
Browse courses on
Autonomous Cars
Show steps
Show steps
Show steps
- Read articles and watch documentaries about the early development of autonomous cars
- Visit a museum or historical exhibit on transportation
Review key concepts of control theory and vehicle dynamics
Show steps
Strengthen your foundational knowledge of control theory and vehicle dynamics.
Browse courses on
Autonomous Cars
Show steps
Show steps
Show steps
- Review notes and textbooks from previous courses or online resources
- Solve practice problems and coding challenges
- Attend a workshop or webinar on control theory and vehicle dynamics
Organize a study group with fellow students to discuss course concepts and projects
Show steps
Enhance your understanding of autonomous cars by discussing and collaborating with peers.
Browse courses on
Autonomous Cars
Show steps
Show steps
Show steps
- Recruit a group of students who are also taking the course
- Set regular meeting times and locations
- Create a study schedule that covers course material and assignments
- Facilitate discussions and activities that delve deeper into course concepts
- Support each other's learning by sharing knowledge, insights, and resources
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice problems and coding challenges related to autonomous car technology
Show steps
Solidify your understanding of autonomous car technology by practicing problem-solving and coding skills.
Browse courses on
Autonomous Cars
Show steps
Show steps
Show steps
- Find online resources or textbooks that provide practice problems and coding challenges
- Set aside regular time to solve these problems and challenges
- Review your solutions and identify areas for improvement
- Seek help from peers, instructors, or online forums when needed
- Use your newfound knowledge to contribute to open-source projects or your own autonomous car projects
Develop a presentation on the potential impact of autonomous cars on society
Show steps
Research and analyze the potential impacts of autonomous cars on society, and present your findings.
Browse courses on
Society
Show steps
Show steps
Show steps
- Research the current state of autonomous car technology
- Identify and analyze potential impacts on various aspects of society, such as employment, transportation, and safety
- Develop a persuasive presentation that clearly communicates your findings and insights
- Present your presentation to a group of peers or community members and answer questions
Build a self-driving car using the open source CARLA simulator
Show steps
Build a self-driving car and put into practice the concepts learnt in the course.
Browse courses on
Autonomous Cars
Show steps
Show steps
Show steps
- Install the CARLA simulator and create a basic environment
- Create a simple autonomous vehicle controller that can follow a set path
- Add sensors to the vehicle and implement basic perception algorithms
- Use reinforcement learning to train the vehicle to navigate more complex environments
- Evaluate the performance of your self-driving car and write a report on your findings
Follow tutorials on deep learning and computer vision techniques used in autonomous car development
Show steps
Deepen your understanding by exploring advanced topics and techniques used in autonomous car development.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find reputable online tutorials or courses on deep learning and computer vision
- Follow the tutorials and complete the exercises and assignments
- Apply the techniques you learn to your own projects or experiments
- Share your learning and progress with others through online discussion forums or social media
Design and develop a prototype of a novel autonomous car feature
Show steps
Apply your learning to create a tangible demonstration of your understanding and skills.
Browse courses on
Autonomous Cars
Show steps
Show steps
Show steps
- Identify an innovative feature that could enhance the capabilities of autonomous cars
- Design and create a mock-up of the feature
- Develop a prototype that demonstrates the functionality of the feature
- Test and evaluate the prototype and make necessary improvements
- Present your prototype to your peers or instructors and provide a demonstration
Career center
Learners who complete Autonomous Cars: How Do They Work and Impact Us? will develop knowledge and skills
that may be useful to these careers:
Automotive Engineer
Automotive Engineer
Automotive Engineers are responsible for designing, developing, testing, and manufacturing vehicles. This course will help you understand the latest developments in autonomous car technology. You will learn about the sensors, algorithms, and systems that make autonomous cars possible. This knowledge will be invaluable as you work to develop the next generation of vehicles.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and maintain robots. This course will help you understand the underlying principles of robotics, including perception, navigation, and control. This knowledge will be essential as you work to develop new and innovative autonomous vehicles.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will help you understand the software behind autonomous cars. You will learn about the different types of software used in autonomous cars, as well as the challenges involved in developing and testing this software.
Data Scientist
Data Scientist
Data Scientists collect, analyze, and interpret data. This course will help you understand the role of data in autonomous cars. You will learn about the different types of data used in autonomous cars, as well as the techniques used to analyze this data.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products. This course will help you understand the product development process for autonomous cars. You will learn about the different stakeholders involved in the product development process, as well as the challenges involved in bringing a new autonomous car to market.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course will help you understand the marketing challenges facing autonomous car companies. You will learn about the different target markets for autonomous cars, as well as the different marketing strategies that can be used to reach these markets.
Sales Manager
Sales Manager
Sales Managers are responsible for selling products and services. This course will help you understand the sales challenges facing autonomous car companies. You will learn about the different sales channels that can be used to sell autonomous cars, as well as the different sales techniques that can be used to close deals.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. This course will help you understand the customer success challenges facing autonomous car companies. You will learn about the different ways to measure customer satisfaction, as well as the different strategies that can be used to improve customer satisfaction.
Operations Manager
Operations Manager
Operations Managers are responsible for planning, organizing, and controlling the operations of a business. This course will help you understand the operational challenges facing autonomous car companies. You will learn about the different aspects of business operations, as well as the different strategies that can be used to improve operational efficiency.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data. This course will help you understand the financial challenges facing autonomous car companies. You will learn about the different financial metrics that are used to evaluate companies, as well as the different strategies that can be used to improve financial performance.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes. This course will help you understand the business challenges facing autonomous car companies. You will learn about the different business models that can be used for autonomous cars, as well as the different strategies that can be used to improve business performance.
Project Manager
Project Manager
Project Managers are responsible for planning, organizing, and controlling projects. This course will help you understand the project management challenges facing autonomous car companies. You will learn about the different phases of a project, as well as the different strategies that can be used to manage projects successfully.
Quality Assurance Manager
Quality Assurance Manager
Quality Assurance Managers are responsible for ensuring that products and services meet quality standards. This course will help you understand the quality assurance challenges facing autonomous car companies. You will learn about the different quality assurance processes that can be used, as well as the different strategies that can be used to improve quality.
Compliance Manager
Compliance Manager
Compliance Managers are responsible for ensuring that companies comply with laws and regulations. This course will help you understand the compliance challenges facing autonomous car companies. You will learn about the different laws and regulations that apply to autonomous cars, as well as the different strategies that can be used to ensure compliance.
Risk Manager
Risk Manager
Risk Managers are responsible for identifying and managing risks. This course will help you understand the risk management challenges facing autonomous car companies. You will learn about the different types of risks that autonomous car companies face, as well as the different strategies that can be used to manage these risks.
For more career information including salaries, visit:
OpenCourser.com/course/bh5onl/autonomous
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Autonomous Cars: How Do They Work and Impact Us?.
Provides a comprehensive overview of deep learning for computer vision.
Save
Provides a comprehensive overview of computer vision algorithms and applications.
Provides a comprehensive overview of the sensor technologies used in autonomous vehicles.
Provides a comprehensive overview of reinforcement learning, which key technology for autonomous vehicles.
Provides a comprehensive overview of convex optimization, which key technology for autonomous vehicles.
Save
Provides a comprehensive overview of classical mechanics, which key foundational subject for autonomous vehicle.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bh5onl/autonomous
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Effort
2 total hours
Via
Udemy
Instructor
David Kleinz
Language
English
Good to know
Taught by David Kleinz, who has 7 years of experience at Continental in advanced driving assistance and autonomous car development
Suitable for general audiences, including motorists and those interested in the impact of autonomous cars on society
Explores the latest developments and upcoming trends in autonomous car technology
Covers essential concepts such as how autonomous cars perceive, think, communicate, and impact society
Provides insights into the potential costs and benefits of autonomous cars
Requires some general education to follow, but avoids deep technical details
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