12 citations · 14 across the 5 of their papers we have counts for
5 papers
V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network
Caizhen He, Hai Wang, Long Chen +2
Object detection is the central issue of intelligent traffic systems, and recent advancements in single-vehicle lidar-based 3D detection indicate that it can provide accurate posit…
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition
Gengxuan Tian, Junqiao Zhao, Yingfeng Cai +3
LiDAR-based place recognition plays a crucial role in Simultaneous Localization and Mapping (SLAM) and LiDAR localization. Despite the emergence of various deep learning-based and…
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
Junqiao Zhao, Fenglin Zhang, Yingfeng Cai +4
Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame. To improve the robustness of VPR in perceptu…
Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition
Yingfeng Cai, Junqiao Zhao, Jiafeng Cui +3
Visual Place Recognition (VPR) in areas with similar scenes such as urban or indoor scenarios is a major challenge. Existing VPR methods using global descriptors have difficulty ca…
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition
Jiafeng Cui, Tengfei Huang, Yingfeng Cai +3
LiDAR-based place recognition is an essential and challenging task both in loop closure detection and global relocalization. We propose Deep Scan Context (DSC), a general and discr…