학술논문

Rule-Based Highway Maneuver Intention Recognition
Document Type
Conference
Source
2015 IEEE 18th International Conference on Intelligent Transportation Systems Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on. :950-955 Sep, 2015
Subject
Transportation
Vehicles
Road transportation
Accuracy
Sensitivity
Prediction algorithms
Safety
Acceleration
Language
ISSN
2153-0009
2153-0017
Abstract
Future advanced driver assistance systems or fully automated driving systems require an increased ability to classify and interpret traffic situations in order to appropriately account for, and react to, the behavior of surroundings vehicles. When driving on a highway, humans are able to recognize the maneuver intentions of surrounding vehicles by observing lateral and longitudinal motion cues. The main idea presented in this paper is to adapt this ability to technical systems by formulating simple logic rules for intention recognition of highway maneuvers. As such, the presented algorithm is able to recognize the intention of left and right lane change maneuvers with an accuracy of approximately 89% while maintaining the false positive rate low at approximately 3%. Further, due to the algorithm's low computational complexity, flexibility, and straight-forward design based on easily comprehensible logic rules, the proposed method fulfills the requirements of future advanced driver assistance systems or fully automated driving systems.