Human intent recognition for smart vehicles

智能汽车的人类意图识别

• 批准号: 543732-2019
• 负责人: Narayan, Apurva
• 金额: $ 1.82万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 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=680757
• 关键词: Human; intent; recognition; smart; vehicles

In this project, General Motors of Canada Company (GM Canada) and the research team will investigate the applicability of machine learning algorithms for human behavior identification and/or human intent recognition. We will identify data sources available in modern vehicles, characterize these data sources, and use them to develop machine learning models for predicting the intent of both manual, automated, and autonomous vehicles. The results will provide insights into the suitability of data analysis for modern-day automotive vehicles and will allow us to speculate about the user' intent to ensure safety and security in the next generation of connected automated vehicles.

在这个项目中，加拿大通用汽车公司（GM Canada）和研究团队将研究机器学习算法在人类行为识别和/或人类意图识别方面的适用性。我们将识别现代车辆中可用的数据源，描述这些数据源的特征，并使用它们来开发机器学习模型，以预测手动，自动和自动驾驶车辆的意图。研究结果将为现代汽车数据分析的适用性提供深入见解，并使我们能够推测用户的意图，以确保下一代互联自动驾驶汽车的安全性。