论文标题
自主驾驶：行人意图框架估算现实世界中的情况
Autonomous Driving: Framework for Pedestrian Intention Estimationin a Real World Scenario
论文作者
论文摘要
驾驶员辅助技术的快速进步将导致在我们的道路上与其他道路使用者互动的完全自动驾驶汽车的整合。为了解决无人驾驶汽车通过眼神交流无法进行互动的问题，我们描述了一个框架，用于估算行人的交叉意图，以减少道路用户之间缺乏目光接触的不确定性。该框架被部署在一辆真实的车辆中，并在共享空间场景中向行人显示了各种通信信息的三个实验案例。执行的现场测试的结果显示了提出的方法的可行性。
Rapid advancements in driver-assistance technology will lead to the integration of fully autonomous vehicles on our roads that will interact with other road users. To address the problem that driverless vehicles make interaction through eye contact impossible, we describe a framework for estimating the crossing intentions of pedestrians in order to reduce the uncertainty that the lack of eye contact between road users creates. The framework was deployed in a real vehicle and tested with three experimental cases that showed a variety of communication messages to pedestrians in a shared space scenario. Results from the performed field tests showed the feasibility of the presented approach.
