53 citations · 54 across the 2 of their papers we have counts for
5 papers · 1 filter
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong, Yaru Niu, Shaoyuan Xie +39
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
Hanjiang Hu, Zuxin Liu, Linyi Li +2
A vast literature shows that the learning-based visual perception model is sensitive to adversarial noises, but few works consider the robustness of robotic perception models under…
A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
Zhijian Qiao, Hanjiang Hu, Weiang Shi +3
In the field of large-scale SLAM for autonomous driving and mobile robotics, 3D point cloud based place recognition has aroused significant research interest due to its robustness…
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
Hanjiang Hu, Zhijian Qiao, Ming Cheng +2
Long-Term visual localization under changing environments is a challenging problem in autonomous driving and mobile robotics due to season, illumination variance, etc. Image retrie…
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
Hanjiang Hu, Hesheng Wang, Zhe Liu +3
Visual localization is a crucial problem in mobile robotics and autonomous driving. One solution is to retrieve images with known pose from a database for the localization of query…