Visual Models - Application to Situational Awareness

我的研究解决了计算机视觉表示的问题，特别是如何从传感器网络中捕获信息，并创建随时间推移忠实反映环境的计算机模型。本提案中有3个具体的子项目。第一个涉及为与人类一起工作的机器人助手提供情景感知。对象（人类+机器）被表示为铰接的3D模型，其在真实的时间中跟踪其真实的世界对应物。科学的重点是如何捕捉和建模动态行为，以便系统可以识别或控制每个占用者的活动。在之前与通用汽车研究合作的基础上，该公司的目标是将机器人助手嵌入更强大、更可靠的情景感知，以便实现实际应用。如果这一愿景成功，未来的装配线将由人类-机器人团队合作制造产品，大大提高生产力，并使加拿大在全球市场上保持竞争力。

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.