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 41–50 of 509 papers

TitleStatusHype
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-RefinementCode1
Ultra-High-Frequency Harmony: mmWave Radar and Event Camera Orchestrate Accurate Drone Landing—0
Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment—0
High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting—0
On the effects of angular acceleration in orientation estimation using inertial measurement units—0
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation—0
HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM—0
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and DatasetCode1
VIGS SLAM: IMU-based Large-Scale 3D Gaussian Splatting SLAM—0
Quadcopter Position Hold Function using Optical Flow in a Smartphone-based Flight Computer—0
Show:102550
← PrevPage 5 of 51Next →

No leaderboard results yet.