2003
DOI: 10.1037/0096-1523.29.2.343
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Abstract: The authors investigated the dynamics of steering and obstacle avoidance, with the aim of predicting routes through complex scenes. Participants walked in a virtual environment toward a goal (Experiment 1) and around an obstacle (Experiment 2) whose initial angle and distance varied. Goals and obstacles behave as attractors and repellers of heading, respectively, whose strengths depend on distance. The observed behavior was modeled as a dynamical system in which angular acceleration is a function of goal and o… Show more

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Cited by 331 publications
(372 citation statements)
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References 35 publications
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“…We make an initial proposal in the Appendix, by combining them in a second-order model, based on the proposals of Fajen and Warren (2003), that acts as a point attractor toward the point of fixation. If the observer fixates the intended target, RF, ER, and VD information can all be used to provide independent estimates of understeer or oversteer.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…We make an initial proposal in the Appendix, by combining them in a second-order model, based on the proposals of Fajen and Warren (2003), that acts as a point attractor toward the point of fixation. If the observer fixates the intended target, RF, ER, and VD information can all be used to provide independent estimates of understeer or oversteer.…”
Section: Discussionmentioning
confidence: 99%
“…We do not deny that these tasks could be completed by recovering heading and its rate of change, but this would still leave the problem of how the observer uses a heading angle to plan a path in three-dimensional space. Fajen and Warren (2003) proposed an equivalent point attractor model that acts to null the heading offset, but this has the additional requirement of recovering target distance. Our approach does not require the estimates of instantaneous heading or target distance, and in this respect we consider it a parsimonious model for "simple" steering that has the flexibility to be extended to complex, planned trajectories through the use of active gaze.…”
Section: Discussionmentioning
confidence: 99%
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“…Other approaches do not assume such computational modules and propose a direct use of optic flow (alone or in combination with other visual variables) to guide locomotion and also allow for the prediction of a large range of locomotor trajectories [21]. The spatial stereotypy of trajectories observed during blindfolded locomotion questions the relevance of such approaches.…”
Section: Sensorimotor Implementation Of Locomotor Trajectoriesmentioning
confidence: 99%
“…The remarkable methods for these kind of robot navigation are Borestein and Koren's Vector Field Histogram (VFH) [7][8], dynamic window approach [6] and the curvature lane approach [4]. Fajen and Warren have proposed a model for obstacle avoidance by humans [5] which was again modified by Hammer et al [3].…”
Section: Introductionmentioning
confidence: 99%