|
Title:
|
USING AN INTENTION PREDICTION ALGORITHM TO DISPLAY ADAPTIVE WARNINGS OF CYCLISTS |
|
Author(s):
|
Lisa Graichen, Matthias Graichen and Leon Gärtner |
|
ISBN:
|
978-989-8704-41-2 |
|
Editors:
|
Katherine Blashki |
|
Year:
|
2022 |
|
Edition:
|
Single |
|
Keywords:
|
Driver Distraction, Warnings, Intersection, ADAS |
|
Type:
|
Short Paper |
|
First Page:
|
195 |
|
Last Page:
|
199 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Adaptive advanced driver assistance systems may be able to adapt to the needs of the driver, thus reducing the risk of information overload and driver distraction in complex traffic situations. One way of achieving this may include the use of predictive algorithms that anticipate the driver's intention to perform a certain traffic maneuver based on vehicle data. The work in progress study that is planned and described in this paper investigates a warning system for intersections aimed at informing drivers about cyclists that are potentially crossing their anticipated trajectory. Drivers will be presented with three different warning types, differing in their level of adaptivity. To create the level of adaptivity, we base the warning system on algorithms for predicting turning maneuvers and hazard detection. Gaze data and subjective ratings will be used to assess the level of driver distraction and user experience while interacting with the warning system. |
|
|
|
|
|
|
