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Alejandro Dizan Vasquez Govea - Incremental Learning for Motion Prediction of Pedestrians and Vehicles - 9783642263859 - V9783642263859
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Incremental Learning for Motion Prediction of Pedestrians and Vehicles

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Description for Incremental Learning for Motion Prediction of Pedestrians and Vehicles Paperback. This book focuses on the problem of moving in a cluttered environment with pedestrians and vehicles. A framework based on Hidden Markov models is developed to learn typical motion patterns which can be used to predict motion on the basis of sensor data. Series: Springer Tracts in Advanced Robotics. Num Pages: 160 pages, 35 colour illustrations, biography. BIC Classification: TJFM1; UYQ; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 278.
Roboticsis undergoingamajortransformationinscopeanddimension.From a largelydominantindustrialfocus,roboticsis rapidly expandinginto human environments and vigorouslyengaged in its new challenges. Interacting with, assisting, serving, and exploring with humans, the emerging robots will - creasingly touch people and their lives. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across - verse research areas and scienti?c disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are pr- ing an abundant source of stimulation and insights for the ?eld of ... Read more

Product Details

Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
160
Condition
New
Series
Springer Tracts in Advanced Robotics
Number of Pages
160
Place of Publication
Berlin, Germany
ISBN
9783642263859
SKU
V9783642263859
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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