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 441–450 of 509 papers

TitleStatusHype
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
Closed-form solution to cooperative visual-inertial structure from motion—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
Combining Slow and Fast: Complementary Filtering for Dynamics Learning—0
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks—0
Robust Multi-Modal Sensor Fusion: An Adversarial Approach—0
Show:102550
← PrevPage 45 of 51Next →

No leaderboard results yet.