A lane departure warning (LDW) system monitors the current lane position of a vehicle and presents a driver alert when one of the vehicle's front tires crosses a threshold, for example, the nearest lane line. The primary intent of such warning systems is to prevent or mitigate road departures and related crashes caused by driver distraction or drowsiness. The present evaluation compared adaptive and nonadaptive versions of an LDW system. The adaptive version adapted to the driver's state, whereas the nonadaptive version did not. The adaptive LDW system alerted the driver only if a driver state monitor (DSM) indicated that the driver was looking away from the road ahead for 2 s or longer at about the time when a lane line was crossed. Forty volunteers drove a high-fidelity, moving-base driving simulator in a study to compare driver responses to a surprise lane departure when they used a nonadaptive LDW system and then an adaptive LDW system or vice versa. The results indicated that in the adaptive LDW mode, 13 subjects (34%) either experienced delayed activation of the LDW alert or received no LDW alert at all when they should have, primarily because of both the 2-s rule in the adaptive LDW algorithm and DSM registration issues. The adaptive LDW resulted in significantly larger lane excursions at the onset of the LDW alert compared with those that occurred in the non-adaptive LDW mode. These results highlight the dependence of the performance effects of adaptive systems on system hardware, algorithms, and algorithm parameters.
[1]
Wolfgang Birk,et al.
Evaluation of Lane Departure Warnings for Drowsy Drivers
,
2006
.
[2]
Thomas A. Dingus,et al.
The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data
,
2006
.
[3]
James R. Sayer,et al.
Road Departure Crash Warning System Field Operational Test: Methodology and Results. Volume 1: Technical Report
,
2006
.
[4]
Kazuhiro Kozuka,et al.
Detection of Driver Gaze Direction and Considerations on its Application to Glance Away Detection using Image Processing
,
2006
.
[5]
James P Bliss,et al.
Alarm mistrust in automobiles: how collision alarm reliability affects driving.
,
2003,
Applied ergonomics.
[6]
Akira Hattori,et al.
Development of Forward Collision Warning System using the Driver Behavioral Information
,
2006
.