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 131–140 of 509 papers

TitleStatusHype
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing DataCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and MappingCode3
3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration—0
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition—0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation—0
OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction—0
Show:102550
← PrevPage 14 of 51Next →

No leaderboard results yet.