Teraguchi, Takehito (Nissan Motor Co., Ltd.), St. Gray, Erik (Nissan North America), Kochever, Kevin (Nissan), Witwicki, Stefan (Nissan North America)

Application of Autonomous Driving Technology to Human Driver Assistance Based on Human ODD

Scheduled for presentation during the Regular Session "Driver Assistance Systems II" (FrBT1), Friday, September 27, 2024, 14:30−14:50, Salon 1

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 October 14, 2024

Abstract

Despite the increased research trend into automated driving systems (ADSs), human driving remains dominant. There are other ways to improve human driving besides automation: for every driver, there exist traffic situations where they lack confidence, are prone to mistakes or burden. Namely, just as with any ADS, the operational design domain (ODD) of a human driver is not without limitations. This paper sets out to characterize Human ODD with an eye towards helping drivers to expand it. We begin from a typology of driving situations centered around intersection traversals. This forms the basis for defining ODD bounds and identifying specific opportunities to enhance the confidence/capability to drive. For a subset of unusual intersections, we investigate driving assistance derived from low-cost ADS technology. Our initial results provide compelling evidence that driving assistance of this form is useful in improving the driving experience and could ultimately be applied to expanding Human ODD.