High-dimensional estimation for sensor systems: from breast cancer detection to autonomous cars

传感器系统的高维估计：从乳腺癌检测到自动驾驶汽车

• 批准号: RGPIN-2017-04269
• 负责人: Coates, Mark
• 金额: $ 2.7万
• 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=637429
• 关键词: dimensional; estimation; sensor; systems; breast

Sensor systems are becoming ubiquitous as we strive to improve our understanding of our surroundings and ourselves. Extensive sensor networks are being deployed to monitor the environment. People have started to wear bio-sensing devices to track their health status and physical activity. Self-driving cars are becoming a reality. In many sensor systems, we are faced with a deluge of measurements and must estimate a high-dimensional state that summarizes the pertinent information. For example, a self-driving car needs to locate and track all other vehicles and pedestrians, and must identify and recognize road conditions such as traffic lights.

随着我们努力改善对周围环境和自己的理解，传感器系统正变得无处不在。目前正在部署广泛的传感器网络来监控环境。人们已经开始佩戴生物传感设备来跟踪他们的健康状况和身体活动。自动驾驶汽车正在成为现实。在许多传感器系统中，我们面临着大量的测量，必须估计总结相关信息的高维状态。例如，自动驾驶汽车需要定位和跟踪所有其他车辆和行人，并且必须识别和识别红绿灯等路况。