In order to achieve efficient environmental perception, we propose an intention-driven visual attention selection model by simulating human active perception of ...
Abstract— Selective attention to specific areas and specific targets according to driving intention is of great significance for.
A new bottom-up and top-down combination visual attention calculative method is proposed in paper. The method proposed is focus on the improvement of top-down ...
Li et al., Enhancement of Target Feature Regions and Intention-Driven Visual Attention Selection in Traffic Scenes, IV, 2022 | paper. Dataset(s): KITTI.
Enhancement of Target Feature Regions and Intention-Driven Visual Attention Selection in Traffic Scenes. ... Note that this feature is a work in progress and ...
Jun 29, 2021 · At the single-neuron level, GFBA is assumed to arise from a multiplicative gain enhancement of feature-selective units in the visual cortex ...
Missing: Intention- Traffic
The purpose of driver's visual attention prediction is to analyze traffic scenarios and predict driver gaze by global probability distribution prediction.
Missing: Intention- Selection
Apr 2, 2021 · The distribution of drivers' visual attention prior to diverting focus from the driving task is critical for safety.
Jun 5, 2017 · Regarding object selection, the visual index theory states that objects grab the visual indexes in a data-driven, parallel, and automatic manner ...
Covert visual attention is noticeably useful to efficiently monitor the visual scene and guide future eye movements [18]. Overt and covert visual attention are ...