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Developing autonomous navigation algorithms using photorealistic simulation
One of the principal problems in developing an automated driver is deciding how to handle the plethora of different decisions that have to be made in tactical situations. Insight on these problems can be obtained by the concurrent development of a driving simulator that allows both human and automated driving. A unique feature of the driving simulator that we have built is the ability to track eye movements within a freely moving VR helmet. This allows the assessment of exigencies in complex situations that can be used to guide the development of automated routines.
Developing autonomous navigation algorithms using photorealistic simulation
One of the principal problems in developing an automated driver is deciding how to handle the plethora of different decisions that have to be made in tactical situations. Insight on these problems can be obtained by the concurrent development of a driving simulator that allows both human and automated driving. A unique feature of the driving simulator that we have built is the ability to track eye movements within a freely moving VR helmet. This allows the assessment of exigencies in complex situations that can be used to guide the development of automated routines.
Developing autonomous navigation algorithms using photorealistic simulation
Salgian, G. (Autor:in) / Ballard, D. (Autor:in)
01.01.1997
774264 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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