Identification of Driver's Braking Intention in Cut-In Scenarios Tsinghua University

Format:

Book

Conference/Event

Author/Creator:

Li, Jingyuan, author.

Contributor:

Ji, Xuewu

Liu, Yahui

Sun, Yingbo

Conference Name:

WCX SAE World Congress Experience (2023-04-18 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

Accurate identification of driver's braking intention is essential in advanced driver assistance system and can make the driving process more comfortable and trustworthy. In this paper, a novel method for driver braking intention identification in cut-in scenarios was proposed by using driver's gaze information and motion information of cut-in vehicles. Firstly, a "looking in and looking out" experimental platform including three eye-tracking cameras and one front-view camera was built to collect driver's gaze information and the vehicle motion information. Secondly, driver's gaze features and motion features of cut-in vehicles were selected and the braking intention identification performance of several decision tree-based ensemble learning algorithms was compared. Thirdly, the feature importance was analyzed by using SHAP (SHapley Additive exPlanations) values. This novel method of braking intention identification makes full use of in-vehicle camera sensors. The signal acquisition method is non-intrusive and can be applied to real-world driving

Notes:

Vendor supplied data

Publisher Number:

2023-01-0852

Access Restriction:

Restricted for use by site license