Publication | Closed Access
Curvilinear Approach to an Intersection and Visual Detection of a Collision
30
Citations
26
References
1993
Year
EngineeringGeometryVisual Perception (Experimental Psychology)Optical FlowVisual Motion PerceptionPerceptionSocial SciencesImage AnalysisVisual CognitionDriver BehaviorEdge DetectionComputational GeometryPerception SystemGeometry ProcessingGeometric ModelingCognitive ScienceMachine VisionFundamental RoleAutonomous DrivingComputer VisionMotion DetectionGeometric AlgorithmVisual DetectionVisual Perception (Computer Vision)Curvilinear Approach
Visual motion perception plays a fundamental role in vehicle control. Recent studies have shown that the pattern of optical flow resulting from the observer's self-motion through a stable environment is used by the observer to accurately control his or her movements. However, little is known about the perception of another vehicle during self-motion--for instance, when a car driver approaches an intersection with traffic. In a series of experiments using visual simulations of car driving, we show that observers are able to detect the presence of a moving object during self-motion. However, the perception of the other car's trajectory appears to be strongly dependent on environmental factors, such as the presence of a road sign near the intersection or the shape of the road. These results suggest that local and global visual factors determine the perception of a car's trajectory during self-motion.
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