Human intent recognition for smart 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，对这些数据源进行表征，并使用它们开发机器学习模型，以预测手动、自动和自动车辆的意图。研究结果将为现代汽车数据分析的适用性提供见解，并使我们能够推测用户在下一代联网自动驾驶汽车中确保安全的意图。

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.