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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 391–400 of 509 papers

TitleStatusHype
Multi-Task Multi-Sensor Fusion for 3D Object Detection—0
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization—0
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions—0
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors—0
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion—0
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle SafetyCode0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Self-Tuning State Estimation for Adaptive Truss Structures Using Strain Gauges and Camera-Based Position Measurements—0
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