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MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
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Video
This lecture gives an intuitive explanation of economics concept known as "Nash equilibrium" using traffic signals as an example.
- Course related:
- AMA1D04 Understanding Social Conflicts by Game Theory
- Subjects:
- Economics and Transportation
- Keywords:
- Game theory Traffic signs signals Traffic engineering Equilibrium (Economics)
- Resource Type:
- Video
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Courseware
Do you know how important GIS is to the transportation industry? The spatial applications to this field are so extensive that they represent an entire sub-discipline within the GIS community. In this course, we'll learn about the primary modes of transportation and explore some of the spatial applications developed to meet the unique needs of each. We'll also take a close look at some key organizations in the industry and learn firsthand from more than a dozen transportation professionals about the role GIS plays for them.
- Subjects:
- Land Surveying and Geo-Informatics and Transportation
- Keywords:
- Transportation -- Planning Geographic information systems Geospatial data
- Resource Type:
- Courseware
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MOOC
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Electronic equipment Automotive sensors
- Resource Type:
- MOOC
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Video
Hydrogen fuel cell cars and lithium-ion battery powered cars, which is more energy efficient and cost effective? This video shows you some facts from perspectives of production, storage of fuels, and infrastructure set up for charging.
- Subjects:
- Electrical Engineering, Chemistry, Environmental Engineering, and Transportation
- Keywords:
- Hydrogen cars Hydrogen as fuel Electric vehicles Fuel cells Hydrogen -- Storage
- Resource Type:
- Video
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Video
Is hydrogen the solution to electric cars? This video discusses the safety of hydrogen, cost of hydrogen, infrastructure set up for hydrogen charging, and how hydrogen fuel cells work in vehicles.
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