Title :
On-road prediction of driver´s intent with multimodal sensory cues
Author :
Doshi, Anup ; Morris, Brendan T. ; Trivedi, Moham M.
Author_Institution :
Univ. of California, San Diego, CA, USA
Abstract :
By predicting a driver´s maneuvers before they occur, a driver-assistance system can prepare for or avoid dangerous situations. This article describes a real-time, on-road lane-change-intent detector that can enhance driver safety.
Keywords :
driver information systems; road safety; sensory aids; dangerous situation avoidance; driver safety; driver-assistance system; multimodal sensory cues; on-road driver intent prediction; on-road lane-change intent detector; Driver circuits; Intelligent vehicles; Predictive control; Radar tracking; Sensor systems; Sensory aids; Training; active safety; computer vision; driver assistance systems; intelligent vehicles; intent prediction; real-time behavior analysis;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2011.38
