Tag: Sensor

Multi-sensor Fusion for Autonomous Driving


Free Download Multi-sensor Fusion for Autonomous Driving
English | 2023 | ISBN: 9819932793 | 380 Pages | PDF EPUB (True) | 55 MB
Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechanism of deep fusion models from the perspective of uncertainty and models the initial risks in order to create a robust fusion architecture.

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Infrared Sensor Using Opamp IC LM324 Build and Learn Electronics


Free Download Infrared Sensor Using Opamp IC LM324: Build and Learn Electronics
English | 2023 | ISBN: 1230004475262 | 23 Pages | EPUB (True) | 2 MB
The eBook is a great price offer to you and this eBook provides a practical hands-on learning experience to the engineers, technicians, students, and hobbyists who are curious and eager to learn and make an electronic project on their own. The project in the eBook explains all the project relevant topics in a simple and descriptive manner for you. In addition, lots of electronics project-building stuff included in this eBook which makes it easier for you to build an electronic project.

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Dynamic Wireless Sensor Networks


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English | 2014 | ISBN: 1848215312 | 146 Pages | EPUB (True) | 3 MB
In this title, the authors leap into a novel paradigm of scalability and cost-effectiveness, on the basis of resource reuse. In a world with much abundance of wirelessly accessible devices, WSN deployments should capitalize on the resources already available in the region of deployment, and only augment it with the components required to meet new application requirements. However, if the required resources already exist in that region, WSN deployment converges to an assignment and scheduling scheme to accommodate for the new application given the existing resources. Such resources are polled from many fields, including multiple WSNs already in the field, static networks (WiFi, WiMAX, cellular, etc) in addition to municipal, industrial and mobile resources.The architecture, framework and pricing policy, as well as approaches for backward compatibility with existing deployments, are presented in this book. We elaborate on the formalization of the problem, and contrast with existing work on coverage. This paradigm adopts optimal assignments in WSNs and exploits dynamic re-programming for boosting post-deployment and backward compatible protocols.

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