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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

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Showing 276–300 of 509 papers

TitleStatusHype
A Visual Cooperative Localization Method for Airborne Magnetic Surveying Based on a Manifold Sensor Fusion Algorithm Using Lie Groups—0
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning—0
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China—0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
BiFNet: Bidirectional Fusion Network for Road Segmentation—0
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration—0
Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving—0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds—0
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection—0
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction—0
Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping—0
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
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
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