The invention discloses a dead zone sensing method and system based on active optimization of computing network resources, and the method comprises the steps: obtaining corresponding point cloud data or image data, and carrying out the processing of the data, and obtaining the pseudo features of an aerial view; processing false features of the aerial view to obtain space confidence; the target vehicle constructs blind area information based on the first space confidence coefficient and the distance between the central value of the aerial view pseudo feature and each pixel in the first space confidence coefficient, and sends the vehicle blind area information to other vehicles; the other vehicles determine vehicles which transmit information preferentially based on the blind area information and the second space confidence coefficient; the target vehicle fuses the aerial view pseudo features of the preferential transmission vehicle and the target vehicle based on the first space confidence and the second space confidence of the preferential transmission vehicle to obtain a fusion feature; and the target vehicle decodes the fusion features to obtain the environment information of the blind area. According to the invention, fixed-point transmission of blind area demand information between vehicles is realized, communication resources and calculation resources of the vehicle end are fully saved, and the sensing effect of the intelligent bicycle is improved.
本发明公开了一种基于算网资源主动优化的盲区感知方法及系统,包括获取对应的点云数据或图像数据,并处理得到鸟瞰图伪特征;对鸟瞰图伪特征处理得到空间置信度;目标车辆基于第一空间置信度和鸟瞰图伪特征的中心值与第一空间置信度中各像素之间的距离构建盲区信息,并将车辆盲区信息发送给其他车辆;其他车辆基于盲区信息和第二空间置信度确定优先传输信息的车辆;目标车辆基于第一空间置信度和优先传输车辆的第二空间置信度融合优先传输车辆和目标车辆的鸟瞰图伪特征,获得融合特征;目标车辆对融合特征进行解码得到盲区的环境信息。本发明实现了车辆之间定点传输盲区需求信息,充分节约通信资源和车端的计算资源,提高智能单车的感知效果。
Blind area sensing method and system based on active optimization of computing network resources
一种基于算网资源主动优化的盲区感知方法及系统
2024-05-07
Patent
Electronic Resource
Chinese
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