Predicting Vehicle Trajectory
暫譯: 預測車輛軌跡

Barrios, Cesar, Motai, Yuichi

Predicting Vehicle Trajectory
  • 出版商: CRC
  • 出版日期: 2020-09-30
  • 售價: $2,670
  • 貴賓價: 9.5 折 $2,537
  • 語言: 英文
  • 頁數: 190
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367656345
  • ISBN-13: 9780367656348

    • 海外代購書籍(需單獨結帳)

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商品描述

This book concentrates on improving the prediction of a vehicle's 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 vehicle's 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.

商品描述(中文翻譯)

本書專注於改善車輛未來軌跡的預測，特別是在非直線路徑上的預測。準確預測車輛的行駛方向對於系統可靠地判斷多輛車輛同時可能的路徑交叉至關重要。美國交通部（US DOT）將要求所有車輛製造商開始實施車對車（V2V）和車對基礎設施（V2I）系統，因此不久的將來，碰撞避免系統將不再依賴視線感測器，而是能夠考慮其他車輛的空間運動，以判斷車輛的未來軌跡是否會同時交叉。此外，本書向讀者介紹了一些在預測車輛未來軌跡時的改進，並提出了一種新穎的臨時解決方案，以加速此類V2V碰撞避免系統的實施。此外，本書還評估了智能手機是否可以用於軌跡預測，試圖比車輛製造商更快地填充V2V碰撞避免系統。

作者簡介



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.

作者簡介(中文翻譯)



Cesar Barrios 於1999年獲得新澤西理工學院的電機工程學士學位，並於2001年獲得碩士學位，2014年在佛蒙特大學獲得電機工程博士學位。他在1999年獲得學士學位後進入IBM工作，自2015年以來，他一直在GLOBALFOUNDRIES工作。他最初在資訊科技領域工作，之後轉向半導體研究與開發。



Yuichi Motai 於1991年在日本東京的慶應義塾大學獲得儀器工程學士學位，1993年在日本京都大學獲得應用系統科學碩士學位，2002年在美國印第安納州西拉法葉的普渡大學獲得電機與計算機工程博士學位。他目前是美國維吉尼亞聯邦大學電機與計算機工程的副教授。他的研究興趣包括感知智慧的廣泛領域（特別是在智能車輛方面）、模式識別、計算機視覺和基於感知的機器人技術。

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