Scene-Based Analysis for the Perception/Control of Locomotion

基于场景的运动感知/控制分析

• 批准号: 0001758
• 负责人: George Andersen
• 金额: $ 24.03万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-15 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0001758&HistoricalAwards=false
• 关键词: Scene; Based; Analysis; Perception; Control

This project will examine the visual information used by people to perceive and control their locomotion through the environment. The research will evaluate a model in which two different types of visual information are used in locomotion. One type of information is based on specific aspects of motion perception that involve the activation of neural mechanisms responsible for detecting expansion or looming. The second type of information is based on changes in scene position available in static views of the world and uses scene layout information based on landmarks. The experiments will examine a number of issues, including the importance of ordinal depth information in the scene, the information provided by scene landmarks, the temporal characteristics of how the brain encodes information for locomotion, and how the two types of information are integrated by the visual system for the control of locomotion. The results of these experiments will increase our understanding of the visual information used by the human brain to control navigation through the environment. In addition, these results will be of use in the development of robotic vision systems that navigate through the environment.

这个项目将研究人们用来感知和控制他们在环境中运动的视觉信息。 这项研究将评估一个模型，其中两种不同类型的视觉信息用于运动。 一种类型的信息是基于运动感知的特定方面，涉及负责检测扩张或隐现的神经机制的激活。 第二种类型的信息是基于在世界的静态视图中可用的场景位置的变化，并且使用基于地标的场景布局信息。 实验将研究许多问题，包括场景中顺序深度信息的重要性、场景地标提供的信息、大脑如何编码运动信息的时间特征，以及视觉系统如何整合这两种类型的信息以控制运动。 这些实验的结果将增加我们对人类大脑用来控制环境导航的视觉信息的理解。 此外，这些结果将用于在环境中导航的机器人视觉系统的开发。