Visual Models - Application to Situational Awareness

视觉模型 - 态势感知的应用

• 批准号: RGPIN-2016-04638
• 负责人: Ferrie, Frank
• 金额: $ 1.6万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634316
• 关键词: Visual; Models; Application; Situational; Awareness

My research addresses the problem of representations for computer vision, specifically how to capture information from a sensor network and create computer models that faithfully reflect an environment over time. There are 3 specific sub-projects within this proposal. The first deals with providing situational awareness for a robotic assistant working in conjunction with a human. Objects (humans + machines) are represented as articulated 3D models that track their real world counterparts in real time. The scientific focus is how to capture and model dynamic behavior so that the system can identify or control the activities of each occupant. Following on previous work with GM research, the goal is to embed robotic assistants with more powerful and reliable situational awareness so that practical implementations become possible. If this vision is successful, future assembly lines will be comprised of human-robot teams collaborating to manufacture products, greatly scaling up productivity and allowing Canada to remain competitive in the global marketplace.

我的研究解决了计算机视觉的表示问题，特别是如何从传感器网络捕获信息并创建随着时间的推移忠实反映环境的计算机模型。该提案中有 3 个具体子项目。第一个涉及为与人类合作的机器人助手提供态势感知。对象（人类 + 机器）被表示为铰接式 3D 模型，可以实时跟踪现实世界中的对象。科学的重点是如何捕捉和建模动态行为，以便系统能够识别或控制每个乘员的活动。继之前与通用汽车研究的合作之后，目标是嵌入具有更强大和可靠的态势感知功能的机器人助手，以便实际实施成为可能。如果这一愿景成功，未来的装配线将由人机团队组成，协作制造产品，从而大大提高生产率，并使加拿大在全球市场上保持竞争力。