Multimodal detection of unknown objects on roads for autonomous driving

D Bogdoll, E Eisen, M Nitsche… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Tremendous progress in deep learning over the last years has led towards a future with
autonomous vehicles on our roads. Nevertheless, the performance of their perception …

[PDF][PDF] 基于相容系数的多传感器融合目标识别方法

文礼杰, 谢荣, 许军立, 刘峥 - 电子测量与仪器学报, 2023 - jemi.cnjournals.com
针对车型识别技术存在类别判定冲突问题, 提出基于相容系数的多传感器融合目标识别方法.
首先, 采用多假设思想实现多传感器异构数据聚类合并获取单帧融合检测结果; 然后 …

An Improved Variational Auto-Encoder With Reverse Supervision for the Obstacles Recognition of UGVs

A Yin, F Zheng, J Tan, Y Wang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The obstacles detection plays an important role in the field of unmanned ground vehicle
(UGV). This article proposes a semi-supervised learning model with reverse supervision …