Signal processing and control challenges for smart vehicles
نویسندگان
چکیده
منابع مشابه
Secure Signal Processing for Smart Grid Privacy
The Smart Grid helps to reduce peak load, save energy and integrate intermittent energy sources into the grid. It has been shown that information about a consumer’s actions, beliefs and preferences can be extracted from high resolution load data collected by Smart Meters. This information can be used in ways that violate consumer privacy. In order to increase consumer control over this informat...
متن کاملAddressing signal processing challenges ]
IEEE SIGNAL PROCESSING MAGAZINE [88] NOVEMBER 2007 1053-5888/07/$25.00©2007IEEE M ultiview three-dimensional (3-D) displays offer viewing of high-resolution stereoscopic images from arbitrary positions without glasses. Such displays consist of view-dependent pixels that reveal a different color according to the viewing angle. Therefore, the left and right eye of an observer see slightly differe...
متن کاملAcoustical Signal Processing for Classifying and Tracking Ground Vehicles
The data collected by a network of aeroacoustic and seismic sensors may be processed to localize the positions of ground vehicles, track the vehicles as they move, and identify the type of vehicle. The localization, tracking, and identification algorithms typically operate in parallel and with minimal sharing of information. The performance of the localization, tracking, and identification algo...
متن کاملElectroactive Smart Materials: New Challenges for Control
In this paper, the main objective is to provide an overview of a new class of research problems for the area which is broadly termed smart structures control. To this end, we describe electroactive smart materials and focus on control issues which naturally arise. Such materials, typically nano and micro-polymers, have mechanical properties controlled by an electric field. Unlike existing appro...
متن کاملDamage detection and structural health monitoring of ST-37 plate using smart materials and signal processing by artificial neural networks
Structural health monitoring (SHM) systems operate online and test different materials using ultrasonic guided waves and piezoelectric smart materials. These systems are permanently installed on the structures and display information on the monitor screen. The user informs the engineers of the existing damage after observing signal loss which appears after damage is caused. In this paper health...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mechanical Systems and Signal Processing
سال: 2017
ISSN: 0888-3270
DOI: 10.1016/j.ymssp.2016.11.016