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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 451–500 of 509 papers

TitleStatusHype
Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning—0
A General Optimization-based Framework for Global Pose Estimation with Multiple SensorsCode0
Multimodal Sensor Fusion In Single Thermal image Super-ResolutionCode0
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
Joint Mapping and Calibration via Differentiable Sensor Fusion—0
Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport—0
Multi-Level Sensor Fusion with Deep Learning—0
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion—0
Multi-scale Geometric Summaries for Similarity-based Sensor Fusion—0
Optimized Gated Deep Learning Architectures for Sensor Fusion—0
Improved Semantic Stixels via Multimodal Sensor Fusion—0
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation—0
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Modular Sensor Fusion for Semantic SegmentationCode0
Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions—0
Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence—0
Semantic Road Layout Understanding by Generative Adversarial Inpainting—0
Street-view change detection with deconvolutional networks—0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label UncertaintyCode0
Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks—0
LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry—0
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving—0
The ApolloScape Open Dataset for Autonomous Driving and its ApplicationCode1
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion—0
Multi-Sensor Conflict Measurement and Information Fusion—0
Closed-form solution to cooperative visual-inertial structure from motion—0
Statistical Sensor Fusion of a 9-DoF MEMS IMU for Indoor Navigation—0
Structured Deep Neural Network Pruning via Matrix Pivoting—0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes—0
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design—0
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning—0
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
Hybrid PS-V Technique: A Novel Sensor Fusion Approach for Fast Mobile Eye-Tracking with Sensor-Shift Aware Correction—0
Zero-Shot Deep Domain Adaptation—0
Multi-View Task-Driven Recognition in Visual Sensor Networks—0
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation—0
Towards Visual Ego-motion Learning in Robots—0
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot—0
Real-time 3D Human Tracking for Mobile Robots with Multisensors—0
Sensor Fusion for Robot Control through Deep Reinforcement Learning—0
Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based ModelsCode0
Probabilistic Sensor Fusion for Ambient Assisted Living—0
UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation—0
Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks—0
Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection—0
Sequence Classification with Neural Conditional Random Fields—0
Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models—0
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