SimBEV：一种合成多任务多传感器驾驶数据生成工具与数据集
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
AI总结：
针对BEV感知数据集缺乏且创建耗时的问题，本文提出SimBEV，一种可配置、可扩展的随机合成数据生成工具，支持多传感器和多任务，并生成公开的SimBEV数据集，以支持BEV分割和3D目标检测等任务。
摘要：
鸟瞰图（BEV）感知近年来在自动驾驶领域引起了广泛关注，部分原因在于BEV表示便于多模态传感器融合。BEV表示支持多种感知任务，包括BEV分割，这是一种对环境简洁的视图，有助于规划车辆轨迹。然而，现有数据集并未完全支持这种表示，而为此目的创建新数据集可能是一项耗时的工作。为应对这一挑战，我们引入了SimBEV。SimBEV是一种随机化的合成数据生成工具，具有高度可配置性和可扩展性，支持多种传感器，整合来自多个来源的信息以获取准确的BEV真实标注，并支持多种感知任务，包括BEV分割和3D目标检测。SimBEV被用于创建SimBEV数据集，这是一个包含来自多样驾驶场景的大量标注感知数据的集合。SimBEV和SimBEV数据集是开放的，可供公众使用。
英文摘要：
Bird's-eye view (BEV) perception has garnered significant attention in autonomous driving in recent years, in part because BEV representation facilitates multi-modal sensor fusion. BEV representation enables a variety of perception tasks including BEV segmentation, a concise view of the environment useful for planning a vehicle's trajectory. However, this representation is not fully supported by existing datasets, and creation of new datasets for this purpose can be a time-consuming endeavor. To address this challenge, we introduce SimBEV. SimBEV is a randomized synthetic data generation tool that is extensively configurable and scalable, supports a wide array of sensors, incorporates information from multiple sources to capture accurate BEV ground truth, and enables a variety of perception tasks including BEV segmentation and 3D object detection. SimBEV is used to create the SimBEV dataset, a large collection of annotated perception data from diverse driving scenarios. SimBEV and the SimBEV dataset are open and available to the public.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
