The invention provides a road environment perception method and device, a training method and device, electronic equipment, a storage medium and a program product, relates to the technical field of artificial intelligence, in particular to the technical field of computer vision, deep learning and large models, and can be applied to automatic driving, unmanned driving and other scenes. The road environment sensing method comprises the steps that lane attributes of an associated area and to-be-detected information collected by a vehicle end sensor are acquired, the to-be-detected information represents a target area where a vehicle travels, the lane attributes of the associated area correspond to the associated area, and the associated area and the target area meet a preset similarity condition; and processing the lane attribute and the to-be-detected information of the associated area by using the vehicle end sensing model to obtain road sensing information of the target area.
本公开提供道路环境感知方法、训练方法、装置、电子设备、存储介质及程序产品,涉及人工智能技术领域,尤其涉及计算机视觉、深度学习、大模型技术领域,可应用于自动驾驶、无人驾驶等场景。道路环境感知方法包括:获取关联区域车道属性和车端传感器采集的待测信息,其中,待测信息表征车辆行驶的目标区域,关联区域车道属性与关联区域相对应,关联区域与目标区域之间满足预设相似度条件;以及利用车端感知模型处理关联区域车道属性和待测信息,得到目标区域的道路感知信息。
Road environment sensing method and device, training method and device, electronic equipment, storage medium and program product
道路环境感知方法、训练方法、装置、电子设备、存储介质及程序产品
2024-09-06
Patent
Electronic Resource
Chinese
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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