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Automotive User Interfaces and Interactive Vehicular Applications

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SITUATION-ADAPTIVE DRIVER ASSISTANCE SYSTEMS FOR SAFE LANE CHANGE<br />

VIA INFERRING DRIVER INTENT<br />

ABSTRACT<br />

This paper focuses on driver intent inference by investigating driver<br />

glance behavior <strong>and</strong> driving maneuver, <strong>and</strong> attempts to show a<br />

general framework to design a situation-adaptive driver assistance<br />

system for avoiding a crash or an incident. The results show that<br />

inferring driver intent via monitoring driver glance behavior is not only<br />

to comprehend driver intent, but also important to detect if the driving<br />

performance is safe. The study revealed how to apply the intent<br />

inference for providing an appropriate support at a proper time point,<br />

which is expected to improve driver’s acceptance <strong>and</strong> driving safety.<br />

INTRODUCTION<br />

Approximately 25% of crashes were attributed to driver distraction [1].<br />

Drivers’ recognition failure accounted for 65�75% of the lane<br />

changing/merging crashes [2].<br />

Intelligent driver assistance systems<br />

have been developed for preventing<br />

such a distraction-related crash [3]:<br />

DRIVER’S LANE-CHANGE INTENT<br />

Inferring driver’s lane-change intent [6]<br />

Distracted driver’s lane-change intent [7]<br />

Huiping ZHOU, Makoto ITOH & Toshiyuki INAGAKI<br />

University of Tsukuba, Japan<br />

EXTREMELY LOW: A driver<br />

has not recognized a slower<br />

lead vehicle or has not<br />

decided to pass the lead at all;<br />

LOW: He/she has decided to<br />

pass the lead vehicle;<br />

MIDDLE: He/she decided to pass the lead vehicle, but not<br />

determine to change lanes yet, <strong>and</strong><br />

HIGH: He/she determined to change lanes once the traffic<br />

conditions allow an implementation.<br />

Driving only<br />

condition<br />

Distracted<br />

driving condition<br />

Caution type<br />

Warning type<br />

Action type<br />

Issue>> Selection of an appropriate type of support functions [4]<br />

Purpose>> to investigate how to develop a situation-adaptive<br />

driver assistance system for changing lanes based on an<br />

inference of driver intent.<br />

Lane-change intent detection rate at HIGH level decreased but was<br />

not significant under distracted driving conditions in comparison with<br />

driving only conditions.<br />

Lane-change intent detection at each of levels was delayed<br />

significantly under distracted driving conditions in comparison with<br />

driving only conditions.<br />

Significant decrease of the glance behavior frequency under<br />

distracted driving conditions.<br />

DEVELOPING AN ADAPTIVE DRIVER ASSISTANCE<br />

SYSTEMS FOR SAFE LANE CHANGE<br />

Two cases of distracted driver’s lane-change intent<br />

Delayed intent creation<br />

Driver’s lane-change intent is<br />

detected at a delayed time point<br />

at each of level.<br />

Delayed type might be caused<br />

by the reduction of the attention<br />

to the environment.<br />

Incomplete intent creation<br />

Driver failed to create the intent until changing lanes.<br />

Driver distraction caused the failure in having the intent to change<br />

lanes rather than the degradation of drive situation awareness.<br />

Situation-adaptive support system for safe lane-change<br />

intent<br />

CONCLUSION<br />

Caution type support function<br />

for enhancing driver’s situation<br />

awareness should be suitable for<br />

the delayed case in order to reattract<br />

the driver attention.<br />

Warning message for evoking the situation awareness is given<br />

when a deviation from the appropriate driver intent creation.<br />

Action protection function becomes essential if a driver ignored or<br />

missed the warning message.<br />

Feedback<br />

Inferring driver intent<br />

Supplying a support function<br />

Inferring driver intent<br />

System processes environmental information, physiological<br />

information & driving information, <strong>and</strong> infers what a driver is going to<br />

do, <strong>and</strong> detects whether the driver is driving at a normal state <strong>and</strong><br />

determines which level the current intent is.<br />

Supplying a support function<br />

System judges which kind of support function should be given<br />

adapting to the detected intent level once driver’s cognitive state is<br />

detected abnormally.<br />

Feedback<br />

This study presented how to apply the driver’s intent inference for<br />

developing a situation-adaptive support system.<br />

The investigation implied that this adaptive function based on<br />

driver intent would be helpful to give a proper support function at a<br />

proper timing <strong>and</strong> to avoid an unnecessary support.<br />

Thus, the system will be expected to supply more comfort <strong>and</strong><br />

effective function to a driver.

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