SimVODIS++: Neural Semantic Visual Odometry in Dynamic Environments 论文阅读
论文信息题目:SimVODIS++:NeuralSemanticVisualOdometryinDynamicEnvironments作者:Ue-HwanKim,Se-HoKim,andJong-HwanKim,Fellow,IEEE时间:2022来源:IEEEROBOTICSANDAUTOMATIONLETTERS(RAL)Abstract语义的缺乏和动态对象导致的性能下降阻碍了其在现实场景中的