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Predicting Vehicle Trajectory.

Author: Cesar Barrios; Yuichi Motai
Publisher: Boca Raton : CRC Press, 2017.
Edition/Format:   eBook : Document : EnglishView all editions and formats

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Barrios, Cesar.
Predicting Vehicle Trajectory.
Boca Raton : CRC Press, ©2017
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Cesar Barrios; Yuichi Motai
ISBN: 9781138031623 1138031623
OCLC Number: 975224149
Description: 1 online resource (205 pages)
Contents: TABLE OF CONTENTSPREFACECHAPTER 1: Improving Estimation of Vehicle's Trajectory Using Latest Global Positioning System withKalman Filtering1.1. Introduction1.2. Kalman Filter1.3. Interacting Multiple Models Estimation1.4. Geographical Information System1.5. Experimental Results1.6. Conclusions1.7. ReferencesCHAPTER 2: Asynchronous Heterogeneous Sensor Fusion using Dead Reckoning and Kalman Filters2.1. Introduction2.2. Position Estimation Techniques2.3. Dead Reckoning with Dynamic Error (DRWDE) using Kalman Filters2.4. Evaluation Criteria2.5. Experimental Performance of the DRWDE System2.6. Conclusions2.7. ReferencesCHAPTER 3: Can Smartphones Fill in the V2V/V2I Implementation Gap?3.1. Introduction3.2. Position Estimation with Kalman Filters3.3. Position Estimation Framework Using GPS and Accelerometer Sensors3.4. Car and Smartphone Sensors Setup for a V2V/V2I System3.5. Evaluation Criteria3.6. Experimental Evaluation3.7. Conclusions3.8. ReferencesCHAPTER 4: ConclusionsAppendix:A.1 Acronym DefinitionsA.2 Symbol DefinitionsA.3 Mathematical limitation for improved estimationsA.4 Taylor polynomial representation with its respective errorA.5 Proof of the expected value calculationsA.6 Representative Visual Basic codeA.7 Representative Matlab code


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"I found specifically very important in this book the research conducted by the authors to properly handle error accumulation from missing data from offline sensors, and running the system at the Read more...

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