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Found 7 papers, 4 papers with code
CAMAv2: A Vision-Centric Approach for Static Map Element Annotation
Compared with the original nuScenes static map element, our CAMAv2 annotations achieve lower reprojection errors (e. g., 4. 96 vs. 8. 03 pixels).
VRSO: Visual-Centric Reconstruction for Static Object Annotation
As a part of the perception results of intelligent driving systems, static object detection (SOD) in 3D space provides crucial cues for driving environment understanding.
V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network
The V2X-AHD can effectively improve the accuracy of 3D object detection and reduce the number of network parameters, according to this study, which serves as a benchmark for cooperative perception.
Ranked #2 on
3D Object Detection
on V2XSet
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition
To address the significant information loss when formulating rotation-invariant descriptors, we propose computing distances between features at different layers within the Euclidean space neighborhood.
Computational Efficiency
Simultaneous Localization and Mapping
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame.
Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition
Visual Place Recognition (VPR) in areas with similar scenes such as urban or indoor scenarios is a major challenge.
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition
LiDAR-based place recognition is an essential and challenging task both in loop closure detection and global relocalization.
