SOTAVerified

Sensor Fusion

Sensor fusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. [Wikipedia]

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 509 papers

TitleStatusHype
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
A Visual Cooperative Localization Method for Airborne Magnetic Surveying Based on a Manifold Sensor Fusion Algorithm Using Lie Groups—0
Progressive Multi-Modal Fusion for Robust 3D Object Detection—0
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation—0
Reliable Heading Tracking for Pedestrian Road Crossing Prediction Using Commodity Devices—0
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
EEPNet: Efficient Edge Pixel-based Matching Network for Cross-Modal Dynamic Registration between LiDAR and Camera—0
LFP: Efficient and Accurate End-to-End Lane-Level Planning via Camera-LiDAR Fusion—0
Validation & Exploration of Multimodal Deep-Learning Camera-Lidar Calibration models—0
Pose estimation of CubeSats via sensor fusion and Error-State Extended Kalman Filter—0
Show:102550
← PrevPage 9 of 51Next →

No leaderboard results yet.