Papers with Code 아카이브
Sensor Modeling
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<span style="color:grey; opacity: 0.6">( Image credit: LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction
Capacitive Touch Sensor Modeling With a Physics-informed Neural Network and Maxwell's Equations
LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo
Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR Sensors to facilitate the Development and Validation of Enhanced Sensor Models
NeuRAD: Neural Rendering for Autonomous Driving
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes
Solving PDEs with Unmeasurable Source Terms Using Coupled Physics-Informed Neural Network with Recurrent Prediction for Soft Sensors
Thermal Image Processing via Physics-Inspired Deep Networks
Auto-encoder based Model for High-dimensional Imbalanced Industrial Data
Systematic Categorization of Influencing Factors on Radar-Based Perception to Facilitate Complex Real-World Data Evaluation
Learning to Drop Points for LiDAR Scan Synthesis
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Asynchronous Multi-View SLAM
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
End-to-end sensor modeling for LiDAR Point Cloud
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving
Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation Modes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.