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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 201–225 of 509 papers

TitleStatusHype
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems—0
Siamese Learning-based Monarch Butterfly Localization—0
Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization—0
On Embedding B-Splines in Recursive State Estimation—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions—0
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted DataCode0
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera FeaturesCode1
L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal CameraCode1
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar FusionCode1
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence—0
Distributed outer approximation of the intersection of ellipsoids—0
Leveraging BEV Representation for 360-degree Visual Place RecognitionCode1
Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition—0
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review—0
Improving Extrinsics between RADAR and LIDAR using Learning—0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
A Multi-modal Approach to Single-modal Visual Place Classification—0
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing—0
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
Group Equivariant BEV for 3D Object Detection—0
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving—0
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