Predicting Vehicle Trajectory

Cesar Barrios, Yuichi Motai

• Publisher: CRC Press
• Year: 2017
• Print ISBN: 9781138030190
• eBook ISBN: 9781351654814
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

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.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Dedication
• Contents
• Preface
• Acknowledgments
• Authors
• 1. Improving Estimation of Vehicle Trajectory Using the Latest Global Positioning System with Kalman Filtering
• 2. Intelligent Forecasting Using Dead-Reckoning with Dynamic Errors
• 3. Trajectory Estimations Using Smartphones
• 4. Summary of Vehicle Trajectories’ Prediction Methods Evaluated
• Appendix
• Index