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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 351–360 of 509 papers

TitleStatusHype
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion—0
How do kernel-based sensor fusion algorithms behave under high dimensional noise?—0
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications—0
A dataset for multi-sensor drone detection—0
MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing—0
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems—0
From SLAM to Situational Awareness: Challenges and Survey—0
Multi-sensor joint target detection, tracking and classification via Bernoulli filter—0
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction—0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models—0
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