Besides, a state transition model embodying object-scale oriented information and prior motion cues is presented to adapt to fast movement scenarios.
Our results provide novel evidence that (1) a subpopulation of VIP neurons utilizes visual cues to signal heading in a rotation-invariant fashion and (2) both local motion parallax and global perspective cues present in optic flow contribute to these computations.
A motion-base simulator was used in a 32-participant study to present vehicle motion cues similar to the actual application.
A positive feature of our local motion task is that the stimuli were created using motion capture technology and, as such, the local motion cues are more naturalistic than those present in displays created using computer algorithms.
Furthermore, we show that both local motion parallax and global dynamic perspective visual cues present in optic flow play a significant role in decomposing the components of self-motion.
To elucidate the role of visual cues, we accurately simulated combinations of translations and rotations using visual stimuli containing a variety of cues present during natural self-motion.
This indicates that distal visual and nonvestibular self-motion cues are sufficient to provide selectivity, but vestibular and other sensory cues present in RW are necessary to fully activate the place-cell population.
This paper presents an automated method of road users' classification into vehicles, cyclists, and pedestrians by using their motion cues.
We describe two cue-combination experiments designed to test the integration of stereo and motion cues, in the presence of consistent or conflicting blur and accommodation information (i.e., when flatness cues are either absent, with physical stimuli, or present, with computer-generated displays).
Accordingly, to understand both pressure and particle motion cues, direct measurements are required.
