PSM: Parametric Saliency Maps for Autonomous Pedestrians
Author:
Affiliation:
1. York University, Canada
2. University of Victoria, Canada
3. Rutgers University, USA
4. York University, EECS, Canada and Toronto Rehab Institution/KITE - University Health Network, Canada
Funder
NSERC Discovery
NSF (National Science Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3487983.3488299
Reference39 articles.
1. A group-based approach for gaze behavior of virtual crowds incorporating personalities
2. SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes
3. Studying Gaze Behaviour during Collision Avoidance with a Virtual Walker: Influence of the Virtual Reality Setup
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1. Universal Design of Signage Through Virtual Human Simulation;Cultural Space on Metaverse;2023-09-26
2. Cognitive Model of Agent Exploration with Vision and Signage Understanding;Computer Graphics Forum;2022-12
3. Automatic estimation of parametric saliency maps (PSMs) for autonomous pedestrians;Computers & Graphics;2022-05
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