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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 76–100 of 509 papers

TitleStatusHype
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural NetworksCode1
RGB-X Object Detection via Scene-Specific Fusion ModulesCode1
Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture RecognitionCode1
The Hilti SLAM Challenge DatasetCode1
Hierarchical Multi-Process Fusion for Visual Place RecognitionCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation ControlCode1
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and CameraCode0
A Modular Platform For Collaborative, Distributed Sensor FusionCode0
Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusionCode0
Multispectral Detection Transformer with Infrared-Centric Sensor FusionCode0
Multispectral image fusion based on super pixel segmentationCode0
Multi-View Conformal Learning for Heterogeneous Sensor FusionCode0
Multimodal Sensor Fusion In Single Thermal image Super-ResolutionCode0
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label UncertaintyCode0
Multimodal Active Measurement for Human Mesh Recovery in Close ProximityCode0
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor FusionCode0
MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer.Code0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice MonitoringCode0
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing DataCode0
Integrating Generic Sensor Fusion Algorithms with Sound State Representations through Encapsulation of ManifoldsCode0
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and TrackingCode0
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield PredictionCode0
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