There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application such as sensor networks robotics navigation video biomedicine etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel multifaceted process handling the automatic association correlation estimation and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems such as data imperfection data multi-modality data dimensionality processing framework etc. While many of these problems have been identified and heavily investigated no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve which would be determined based on the application in hand. Historically the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation as well as the most recent researches and novel advances on multisensor attitude estimation task. It explores the design of algorithms and architectures benefits and challenging aspects as well as a broad array of disciplines including: navigation robotics biomedicine motion analysis etc. A number of issues that make data fusion for attitude estimation a challenging task and which will be discussed through the different chapters of the book are related to: 1) The nature of sensors and information sources (accelerometer gyroscope magnetometer GPS inclinometer etc. ); 2) The computational ability at the sensors; 3) The theoretical developments and convergence proofs; 4) The system architecture computational resources fusion level. | Multisensor Attitude Estimation Fundamental Concepts and Applications
There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application such as sensor networks robotics navigation video biomedicine etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel multifaceted process handling the automatic association correlation estimation and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems such as data imperfection data multi-modality data dimensionality processing framework etc. While many of these problems have been identified and heavily investigated no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve which would be determined based on the application in hand. Historically the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation as well as the most recent researches and novel advances on multisensor attitude estimation task. It explores the design of algorithms and architectures benefits and challenging aspects as well as a broad array of disciplines including: navigation robotics biomedicine motion analysis etc. A number of issues that make data fusion for attitude estimation a challenging task and which will be discussed through the different chapters of the book are related to: 1) The nature of sensors and information sources (accelerometer gyroscope magnetometer GPS inclinometer etc. ); 2) The computational ability at the sensors; 3) The theoretical developments and convergence proofs; 4) The system architecture computational resources fusion level. | Multisensor Attitude Estimation Fundamental Concepts and Applications
Sellers offer a range of delivery options, so you can choose the one that’s most convenient for you. Many sellers offer free delivery. You can always find the postage cost and estimated delivery date in a seller’s listing. You'll then be able to see a full list of delivery options during checkout. These can include: Express delivery, Standard delivery, Economy delivery, Click & Collect, Free local collection from seller.
Your options for returning an item vary depending on what you want to return, why you want to return it, and the seller's return policy. If the item is damaged or doesn't match the listing description, you can return it even if the seller's returns policy says they don't accept returns. If you've changed your mind and no longer want an item, you can still request a return, but the seller doesn't have to accept it. If the buyer changes their mind about a purchase and wants to return an item, they may need to pay return postage costs, depending on the seller's return policy. Sellers can provide a return postage address and additional return postage information for the buyer. Sellers pay for return postage if there's a problem with the item. For example, if the item doesn't match the listing description, is damaged or defective or is counterfeit. By law, customers in the European Union also have the right to cancel the purchase of an item within 14 days beginning from the day you receive, or a third party indicated by you (other than the carrier) receives, the last good ordered by you (if delivered separately). This applies to all products except for digital items (e.g. Digital Music) that are provided immediately to you with your acknowledgement, and other items such as video, DVD, audio, video games, Sex and Sensuality products and software products where the item has been unsealed.
Sellers have to offer a refund for certain items only if they are faulty, such as: Personalised items and custom-made items, Perishable items, Newspapers and magazines, Unwrapped CDs DVDs and computer software. If you used your PayPal balance or bank account to fund the original payment, the refunded money will go back to your PayPal account balance. If you used a credit or debit card to fund the original payment, the refunded money will go back to your card. The seller will effect the refund within three working days but it may take up to 30 days for Paypal to process the transfer. For payments funded partially by a card and partially by your balance/bank, the money taken from your card will go back to your card and the remainder will return to your PayPal balance.