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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 101–125 of 509 papers

TitleStatusHype
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity RecogntionCode3
Segment Anything with Multiple ModalitiesCode2
AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection—0
YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systems—0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
Practical Implementation of KalmanNet for Accurate Data Fusion in Integrated NavigationCode1
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving—0
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving—0
Deep learning empowered sensor fusion boosts infant movement classification—0
Harnessing Multimodal Sensing for Multi-user Beamforming in mmWave Systems—0
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence—0
All-day Depth Completion—0
Fusing uncalibrated IMUs and handheld smartphone video to reconstruct knee kinematics—0
SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception—0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
GPS-IMU Sensor Fusion for Reliable Autonomous Vehicle Position Estimation—0
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds—0
Global Scale Self-Supervised Channel Charting with Sensor Fusion—0
Landmark Alternating Diffusion—0
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion—0
Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System—0
Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition—0
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