Neis, Nicole (Porsche Engineering Group GmbH), Beyerer, Jürgen (Fraunhofer Institute of Optronics, Systems Technologies and Imag)

Improving the Modelling of the Lateral Driving Behavior of Vehicles within Their Lane Over Extended Time Periods

Scheduled for presentation during the Regular Session "Driving behavior models" (ThBT6), Thursday, September 26, 2024, 14:30−14:50, Salon 14

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Abstract

The lateral movement of vehicles within their lane significantly influences the range of vision of sensors automated driving functions rely on. Consequently, it is crucial for the objects detected by downstream object detection algorithms. These in turn are decisive for the situational awareness of an automated driving function. Due to the rising importance of simulations for the validation of automated driving functions, it is necessary to reflect the lateral movement of vehicles within their lane in simulations. For this, so called submicroscopic behavior models have been developed. These, however, show limitations when it comes to the modelling of lane following maneuvers in the range of half a minute up to a few minutes. The present paper addresses this issue: based on an analysis of the driving behavior on this scale in real-world data, several approaches are proposed to better reflect the identified effects within the model introduced by the authors in earlier work. The results of these adaptions are qualitatively and quantitatively evaluated. Then, the different approaches are categorized according to their potential use cases, and future research directions are derived.