Windrow avoidance for autonomous snow removal technology

自主除雪技术的料堆规避

• 批准号: 548580-2019
• 负责人: DelosReyes, JoseRizalino
• 金额: $ 1.82万
• 依托单位: Red River College of Applied Arts, Science and Technology
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681312
• 关键词: Windrow; avoidance; autonomous; snow; removal

Red River College's Accounting & Computer Education (ACE) and NorthStar Robotics (NR) plans to collaborate on developing a technology that provides NRs autonomous snowplow with quality of cleaning information when clearing an area of snow. Lidar and sonar sensors will be mounted overlooking the edge of the plow to monitor for snow overflowing to form a windrow. This data will be used to train a machine learning (ML) algorithm to use the quality of clean information to improve performance.

红河学院的会计与计算机教育 (ACE) 和 NorthStar Robotics (NR) 计划合作开发一项技术，为 NR 自主扫雪机在清除积雪时提供高质量的清洁信息。激光雷达和声纳传感器将安装在犁边缘的上方，以监测积雪是否溢出形成堆垛。这些数据将用于训练机器学习 (ML) 算法，以利用干净信息的质量来提高性能。