NL, Remote Driving, Remote driving using 5G positioning

Use Case Category: <strong>Remote Driving</strong><br> User Story: <strong>Remote driving using 5G positioning</strong><br> Location: Dutch (NL) trial site According to 3GPP TS 22.186 R16, Remote Driving “enables a remote driver or a V2X application to operate a remote vehicle for those passengers who cannot drive themselves or a remote vehicle located in dangerous environments. For a case where variation is limited, and routes are predictable, such as public transportation, driving based on cloud computing can be used. In addition, access to cloud-based back-end service platform can be considered for this use case group”. User Story: <strong>Remote driving using 5G positioning</strong> In situation where the AD vehicle is unable to automatically drive further (due to a failure or unexpected driving condition), a remote operator takes over control of the vehicle and drives it to a point where AD can be resumed. As an example, this can be in situations like border control, construction zones and inclement weather. To tele-operate a vehicle, the data from multiple sensors should stream their information (synchronised and with low latency) to the operator and at the same time have low latency in the control task of manoeuvring the vehicle in real time. One example for tele-operation is when an AD vehicle is automatically manoeuvred to a bay/slot assigned by border control remotely/via 5G and local edge computing for monitoring actions of the autonomous car by the border agents. For automated manoeuvring in a complex border-post environment, precise localization (of the car in surroundings by the car, plus potentially of the car by the infrastructure) is needed. In the NL trial, tele-operation will be tested by driving the vehicle from the emergency lane to an assigned slot on a rest area along the A270. However, testing of localization services will be carried out at the TU/e campus as it needs special infrastructure, e.g., fibre optical backbone and multiple 5G small cells, available at the TU/e campus for high accuracy localisation services and low latency. New 5G technology based on adaptation and integration of 5G beam steering and MIMO will be used for localization and positioning. The 5G (mm-wave) based location can serve as a redundant localization system and useful in scenarios such as border customs control with gates with a roof covering.用例类别：<strong>远程驾驶（Remote Driving）</strong><br> 用户故事：<strong>基于5G定位的远程驾驶</strong><br> 试验地点：荷兰（NL）试验场地<br> 根据3GPP TS 22.186 R16标准，远程驾驶"可使远程驾驶员或车联网（V2X）应用程序，为无法自主驾驶的乘客，或处于危险环境中的远程车辆提供驾驶操作支持。针对路况变化有限、行驶路线可预测的场景（如公共交通场景），可采用基于云计算的驾驶方案。此外，该用例集群可考虑接入基于云的后端服务平台"。<br> 用户故事：<strong>基于5G定位的远程驾驶</strong><br> 当自动驾驶（AD）车辆因故障或意外行驶工况无法继续自主行驶时，远程操作员将接管车辆控制权，将车辆驾驶至可恢复自动驾驶的点位。此类场景包括边境检查、施工区域及恶劣天气等情况。要实现车辆远程操控，需将多传感器数据（经过同步且具备低延迟特性）传输至操作员端，同时车辆操控任务需具备实时低延迟特性。远程操控的典型应用场景之一为：自动驾驶车辆通过远程操控或借助5G与本地边缘计算技术，自动行驶至边境管控部门指定的泊位/车位，由边境监管人员对自动驾驶车辆开展监控操作。<br> 针对复杂边境口岸环境中的自动泊车操作，需要实现车辆自身对周边环境的精确定位，以及可能的基础设施对车辆的定位。在本次荷兰（NL）试验中，将测试将车辆从应急车道行驶至A270高速公路沿线休息区的指定泊位的场景。而定位服务的测试将在埃因霍温理工大学（TU/e）校区开展，因该校区配备了用于高精度定位与低延迟服务的专用基础设施，例如光纤骨干网与多个5G小基站。本次试验将采用基于5G波束赋形与多输入多输出（MIMO）技术适配与集成的新型5G技术，用于定位与位置服务。基于毫米波（mm-wave）的5G定位可作为冗余定位系统，适用于带有顶棚封闭闸口的边境海关管控等场景。