ReliablE in-Vehicle pErception and decisioN-making in complex environmenTal conditionS (EVENTS)

开车是一项具有挑战性的任务。在我们作为司机的日常生活中，我们面临着需要以安全和高效的方式处理的意外情况。这同样适用于互联和自动化车辆(CAV)，它们也需要在一定程度上处理这些情况，具体取决于它们的自动化水平。自动化水平越高，对系统处理这些情况的期望就越高。在本项目的上下文中，这些CAV的正常运行接近中断的意外情况(例如，由于交通变化、恶劣的天气/灯光条件、不完美的数据、传感器/通信故障等而达到奇数限制)被称为“事件”。Events也是这个项目的首字母缩写。今天，骑手面临着几个挑战(例如，在复杂的城市环境中的感知、易受攻击的道路使用者(VRU)检测、在恶劣天气和低能见度条件下的感知)，为了能够安全可靠地驾车通过这些活动，应该克服这些挑战。在我们的范围内，为了涵盖广泛的场景，这些类型的事件被集中在三个主要使用案例下：a)与VRU的交互，b)非标准和非结构化的道路条件，以及c)低能见度和不利天气条件。我们在活动方面的愿景是为AVS创建一个强大和自我弹性的感知和决策系统，以管理地平线上不同类型的“事件”。由于动态变化的道路环境(VRU、障碍物)和/或由于不完善的数据(例如传感器和通信故障)，这些事件导致达到AV奇数限制。无论如何，无人机都应该继续并安全运行。当系统无法处理这种情况时，应该采取改进的最低风险策略。

Driving is a challenging task. In our everyday life as drivers, we are facing unexpected situations we need to handle in a safe and efficient way. The same is valid for Connected and Automated Vehicles (CAVs), which also need to handle these situations, to a certain extent, depending on their automation level. The higher the automation level is, the higher the expectations for the system to cope with these situations are. In the context of this project, these unexpected situations where the normal operation of the CAV is close to be disrupted (e.g. ODD limit is reached due to traffic changes, harsh weather/light conditions, imperfect data, sensor/communication failures, etc.), are called “events”. EVENTS is also the acronym of this project. Today, CAVs are facing several challenges (e.g. perception in complex urban environments, Vulnerable Road Users (VRUs) detection, perception in adverse weather and low visibility conditions) that should be overcome in order to be able to drive through these events in a safe and reliable way. Within our scope, and in order to cover a wide area of scenarios, these kinds of events are clustered under three main use cases: a) Interaction with VRUs, b) Non-Standard and Unstructured Road Conditions and c) Low Visibility and Adverse Weather Conditions. Our vision in EVENTS is to create a robust and self-resilient perception and decision-making system for AVs to manage different kind of “events” on the horizon. These events result in reaching the AV ODD limitations due to the dynamic changing road environment (VRUs, obstacles) and/or due to imperfect data (e.g. sensor and communication failures). The AV should continue and operate safely no matter what. When the system cannot handle the situation, an improved minimum risk manoeuvre should be put in place.