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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
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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Others
The mindset of an engineer is to solve problems by breaking down any issue into smaller, solvable, chunks to find a solution. Engineers are always looking to expand their knowledge, being constantly curious about how things work, where else they’ve seen something used or where could something be applied. The HVACR serie covers the topic of heating, ventilation, air conditioning, refrigeration, refrigerants & properties, complete systems, pumps, cooling towers, heat exchangers, refrigeration componenets, HVACR design, schematics, and pipework.
- Course related:
- BSE3226 HVACR II and BSE3225 HVACR I
- Subjects:
- Building Services Engineering and Electrical Engineering
- Keywords:
- Ventilation Air conditioning Heating
- Resource Type:
- Others
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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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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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Others
The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consumption. It also includes information on apartment characteristics and hourly weather variation to enable further studies of energy performance. These data can be used by researchers as training datasets to evaluate electricity usage consumption.
- Subjects:
- Electrical Engineering
- Keywords:
- India Electric power -- Conservation Electric power consumption
- Resource Type:
- Others
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Courseware
Have you ever wondered what it takes to get your train on the right platform at the scheduled time every day? Understanding the complexity behind today’s sophisticated railway systems will give you a better insight into how this safe and reliable transportation system works. We will show you the many factors which are involved and how multiple people, behind the scenes, have a daily task that enables you to get from home to work. Journey with us into the world of rail – a complex system that connects people, cities and countries. Railway systems entail much more than a train and a track. They are based on advanced technical and operational solutions, dealing with continuously changing demands for more efficient transport for both passengers and freight every day. Each system consists of many components that must be properly integrated: from trains, tracks, stations, signaling and control systems, through monitoring, maintenance and the impact on cities, landscape and people. This integration is the big challenge and the source of many train delays, inconvenient connections and other issues that impact our society. This engineering course attempts to tackle those issues by introducing you to a holistic approach to railway systems engineering. You will learn how the system components depend on each other to create a reliable, efficient and state-of-the-art network.
- Subjects:
- Electrical Engineering and Transportation
- Keywords:
- Railroad engineering
- Resource Type:
- Courseware
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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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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.