The rendered risky testing scenarios from CoRTSG (Risky Testing Scenario Generation for Cooperative Perception), which contains 17490 concrete scenarios of 11 types of functional scenarios.
Multi-V2X is a large-scale, multi-modal, multi-penetration-rate dataset for cooperative perception under vehicle-to-everything (V2X) environment. Multi-V2X is gathered by SUMO-CARLA co-simulation and
针对单车感知受限、算力不足、认知局限等问题,实现开放道路复杂驾驶环境下的超视距感知和协同,本课题研制了4.9G低频组网的智慧车联网演示场景。智慧车联网演示测试的数据内容包括被测目标的经度、纬度、海拔高度和速度,测试结果与陪测使用的实时动态(Real Time Kinematic, RTK)记录设备进行对照。测试区域位于湖南省张家界市。测试站点安装在一栋七层楼高的建筑上,高约30米,站点距机场跑道的
The first case study evaluated the Baidu Apollo Open Platform 5.0 using the LGSVL simulator. The second case study tests the BeamNG.AI lane-keeping system, which is the driving agent integrated into t