SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 381–390 of 509 papers

TitleStatusHype
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
RADIATE: A Radar Dataset for Automotive Perception in Bad WeatherCode1
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor FusionCode1
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
Show:102550
← PrevPage 39 of 51Next →

No leaderboard results yet.