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A01=Cesar Barrios
A01=Yuichi Motai
Age Group_Uncategorized
Age Group_Uncategorized
Author_Cesar Barrios
Author_Yuichi Motai
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Category1=Non-Fiction
Category=TBM
Category=THRB
Category=TRC
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Temporarily unavailable
Price_€50 to €100
PS=Active
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Predicting Vehicle Trajectory

English

By (author): Cesar Barrios Yuichi Motai

This book concentrates on improving the prediction of a vehicles future trajectory, particularly on non-straight paths. Having an accurate prediction of where a vehicle is heading is crucial for the system to reliably determine possible path intersections of more than one vehicle at the same time. The US DOT will be mandating that all vehicle manufacturers begin implementing V2V and V2I systems, so very soon collision avoidance systems will no longer rely on line of sight sensors, but instead will be able to take into account another vehicles spatial movements to determine if the future trajectories of the vehicles will intersect at the same time. Furthermore, the book introduces the reader to some improvements when predicting the future trajectory of a vehicle and presents a novel temporary solution on how to speed up the implementation of such V2V collision avoidance systems. Additionally, it evaluates whether smartphones can be used for trajectory predictions, in an attempt to populate a V2V collision avoidance system faster than a vehicle manufacturer can.

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Original price €66.99
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A01=Cesar BarriosA01=Yuichi MotaiAge Group_UncategorizedAuthor_Cesar BarriosAuthor_Yuichi Motaiautomatic-updateCategory1=Non-FictionCategory=TBMCategory=THRBCategory=TRCCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€50 to €100PS=Activesoftlaunch

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Product Details
  • Weight: 380g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Sep 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780367656348

About Cesar BarriosYuichi Motai

Cesar Barrios received a B.S. (1999) and an M.S. (2001) in electrical engineering from the New Jersey Institute of Technology and a Ph.D. degree (2014) in electrical engineering from the University of Vermont. He worked for IBM after graduating with his B.S. degree in 1999 and since 2015 he has been working for GLOBALFOUNDRIES. He began in the Information Technology field and has since moved into Semiconductor Research and Development.Yuichi Motai received his B.Eng. degree in instrumentation engineering from Keio University Tokyo Japan in 1991 his M.Eng. degree in applied systems science from Kyoto University Kyoto Japan in 1993 and his Ph.D. degree in electrical and computer engineering from Purdue University West Lafayette IN U.S.A. in 2002. He is currently an Associate Professor of Electrical and Computer Engineering at Virginia Commonwealth University Richmond VA USA. His research interests include the broad area of sensory intelligence (particularly in intelligent vehicle) pattern recognition computer vision and sensory-based robotics.

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