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Video
The vast majority of our grid-scale storage of electricity uses this clever method. Electricity faces a fundamental problem that comes with pretty much any product that’s provided on-demand: our ability to generate large amounts of it doesn’t match up that closely with when we need it. The storage of electricity for later use, especially on a large scale, is quite challenging. That’s not to say that we don’t store energy at grid scale though, and there’s one type of storage that makes up the vast majority of our current capacity.
- Subjects:
- Environmental Engineering, Hydraulic Engineering, and Mechanical Engineering
- Keywords:
- Energy storage Water-power Pumped storage power plants
- Resource Type:
- Video
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Video
From self-healing asphalt to electrified roads, technology is steering the future of driving along some exciting new paths!
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Traffic safety Roads -- Technological innovations Automobile driving
- Resource Type:
- Video
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Video
This video explores the challenges of self-driving cars and possible solutions to address the safety of self-driving technology.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Automatic control Automobile industry trade -- Technological innovations
- Resource Type:
- Video
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Courseware
This course covers the fundamental concepts of structural mechanics with applications to marine, civil, and mechanical structures. Topics include analysis of small deflections of beams, moderately large deflections of beams, columns, cables, and shafts; elastic and plastic buckling of columns, thin walled sections and plates; exact and approximate methods; energy methods; principle of virtual work; introduction to failure analysis of structures. We will include examples from civil, mechanical, offshore, and ship structures such as the collision and grounding of ships.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Structural analysis (Engineering)
- Resource Type:
- Courseware
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Video
These tutorials cover a range of material that, depending on where you go to school, might show up in either mechanics of materials 2 or structural analysis courses. A solid understanding of mechanics of materials is necessary to understand the topics presented here.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Structural analysis (Engineering)
- Resource Type:
- Video
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Video
This free online statics course teaches how to assess and solve 2D and 3D statically determinate problems. The course consists of 72 tutorials which cover the material of a typical statics course (mechanics I) at the university level or AP physics.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Mechanics Mechanics Analytic Mechanics Applied Statics
- Resource Type:
- Video
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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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MOOC
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction Computer vision Automated vehicles
- Resource Type:
- MOOC
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MOOC
Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications. You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important rolethroughout the course. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction -- Mathematical models Motor vehicles -- Dynamics
- Resource Type:
- MOOC
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MOOC
This course explores the topic of solid objects subjected to stress and strain. The methods taught in the course are used to predict the response of engineering structures to various types of loading, and to analyze the vulnerability of these structures to various failure modes. Axial loading with be the focus in this course.
- Course related:
- ME3303 Mechanics of Solids
- Subjects:
- Mechanical Engineering
- Keywords:
- Strength of materials Mechanics Applied Materials
- Resource Type:
- MOOC