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

Showing 110 of 509 papers

TitleStatusHype
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity RecogntionCode3
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and MappingCode3
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
Driv3R: Learning Dense 4D Reconstruction for Autonomous DrivingCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
Adaptive Kalman-Informed TransformerCode2
FUTR3D: A Unified Sensor Fusion Framework for 3D DetectionCode2
Show:102550
← PrevPage 1 of 51Next →

No leaderboard results yet.