Inferring driver behaviours, intent and risk in complex traffic scenarios

该项目旨在开发评估驾驶过程中风险的方法。下一代车辆将配备复杂的感知和以自我为中心的信息。这将与车辆间通信相结合，实现协同安全，与智能基础设施结合使用。这项技术预计将从2017年开始在美国强制执行。该项目计划开发无监督学习算法，以推断高级驾驶员行为，意图和上下文信息，从而自动评估复杂驾驶场景下的风险水平。它计划使用在世界各地大规模部署的自然驾驶数据集来验证结果。这项创新可以提高汽车安全性，并促进自动驾驶汽车的部署。

This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to develop unsupervised learning algorithms to infer high-level driver behaviours, intent and contextual information to automatically evaluate levels of risk under complex driving scenarios. It plans to validate the results using naturalistic driving datasets taken in large-scale deployments around the world. This innovation may improve automotive safety and facilitate the deployment of autonomous vehicles.