Situational Awareness and Road Prediction for Trajectory Control Applications

Abstract

The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above

Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty

“…Traffic scene awareness endows the autonomous vehicles with an enhanced comprehension of the future conditions of dynamic scenarios, which includes maneuver and position prediction of each traffic participant based on perceived environmental information and collision risk assessment for decision-making (Baines and Padget, 2015;Guindel et al, 2019;Lundquist et al, 2012). Then, vehicle trajectory prediction is an important component to achieve this requirement.…”