Image Analysis, Synthesis and Perception of Dynamic 3-D Scenes for Tactical Navigation

美国国家科学基金会/美国国防部高级研究计划局图像理解和语音识别联合倡议的这一奖项是为了研究人类远程引导车辆和操纵物体所需的视觉线索。远程机器人操作员可能会受到响应延迟、有限的视觉带宽和没有足够的时间来关注关键细节的阻碍。本研究将确定必须提取或保留的基本视觉线索，以实现有效的导航、避障、着陆、对接和操作。理论将由人类在综合动态视觉环境中的能力来检验。

This award in the Joint NSF/DARPA Initiative on Image Understanding and Speech Recognition is for a study of the visual cues that humans need to guide vehicles and manipulate objects remotely. Telerobotic operators may be hampered by response delays, limited visual bandwidth, and insufficient time to attend to critical details. This study will identify essential visual cues that must be extracted or preserved to enable competent navigation, obstacle avoidance, landing, docking, and manipulation. Theories will be tested by human capabilities in synthesized dynamic visual environments.