The embodiment of the invention provides a multi-task processing method and device for intelligent driving, a storage medium and electronic equipment. The multi-task processing method comprises the steps that 3D space grid voxels are generated based on a point cloud image; aiming at the 3D space grid voxels, extracting 3D high-dimensional features; acquiring an up-sampling feature based on the 3D high-dimensional feature; and obtaining road information based on the up-sampling features. According to the embodiment of the invention, the multi-task overall network is adopted, branch feature sharing of multiple tasks is realized through sharing the basic model, joint learning is beneficial to improving the performance of each task, and obstacle target detection, lane lines, travelable areas, ground heights and the like can be output at the same time; the integrated multi-task model is adopted to obtain better sensing performance and lower system delay at the same time, and the utilization rate of a deep learning network in multi-task sensing is improved.
本公开实施例提供一种智能驾驶的多任务处理方法、装置、存储介质以及电子设备,所述多任务处理方法包括:基于点云图像生成3D空间网格体素;针对所述3D空间网格体素提取3D高维特征;基于所述3D高维特征获取上采样特征;基于所述上采样特征获取道路信息。本公开实施例采用多任务整体网络,通过共享基础模型以实现多种任务分支特征共享,联合学习有利于提升每项任务的性能,能够同时输出障碍物目标检测、车道线、可行驶区域和地面高度等,通过采用整体化的多任务模型来同时获得更好的感知性能和更低的系统延迟,提升了多任务感知中深度学习网络的利用率。
Multi-task processing method and device for intelligent driving
一种智能驾驶的多任务处理方法以及装置
2022-12-23
Patent
Elektronische Ressource
Chinesisch
IPC: | 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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