https://github.com/danielming123/occfusion
공식 코드OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction
Papers with Code 아카이브
Sensor Fusion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
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]
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/descarteslabs/contrastive_sensor_fusion
공식 코드Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
https://github.com/dsriaditya999/rgbxfusion
공식 코드https://github.com/enriquegit/multiview-conformal-prediction-paper
공식 코드Multi-View Conformal Learning for Heterogeneous Sensor Fusion
https://github.com/eth-siplab/MultiSite-PPG-Robust_HeartRate
공식 코드Robust Heart Rate Detection via Multi-Site Photoplethysmography
https://github.com/ethz-asl/modular_semantic_segmentation
공식 코드https://github.com/flkraus/bayesian-yolov3
공식 코드https://github.com/fmenat/missingviews-study-eo
공식 코드Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
https://github.com/fmenat/multiviewRS-models
공식 코드Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications
https://github.com/fmenat/multiviewcropclassification
공식 코드A Comparative Assessment of Multi-view fusion learning for Crop Classification
https://github.com/fmenat/optimal-multiview-crop-classifier
공식 코드Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction
https://github.com/goodarzmehr/simbev
공식 코드SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
https://github.com/great-whu/dba-fusion
공식 코드https://github.com/gso-soslab/msckf_dvio
공식 코드Tightly-coupled Visual-DVL-Inertial Odometry for Robot-based Ice-water Boundary Exploration
https://github.com/hku-mars/r3live
공식 코드https://github.com/hvak/bi-michi
공식 코드Bi-capacity Choquet Integral for Sensor Fusion with Label Uncertainty
https://github.com/hwansoo-choi/cognitive-transfuser
공식 코드https://github.com/ilaydayaman/luvira_dataset
공식 코드The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
https://github.com/jejjohnson/oceanbench
공식 코드https://github.com/kaist-avelab/k-radar
공식 코드Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera
https://github.com/kit-mrt/masked-fusion-360
공식 코드MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
https://github.com/kunglab/ddnn
공식 코드Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
https://github.com/leggedrobotics/holistic_fusion
공식 코드Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
https://github.com/liuliu-55/rofusion
공식 코드ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
https://github.com/luisromeroben/d-ukf-aw-gsi
공식 코드Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak Localization
https://github.com/marcelsheeny/radiate_sdk
공식 코드RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
https://github.com/maverickpeter/vdisco
공식 코드Leveraging BEV Representation for 360-degree Visual Place Recognition
https://github.com/meaten/HMRinCloseProximity
공식 코드Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
https://github.com/mipi-challenge/mipi2022
공식 코드MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report
https://github.com/mit-han-lab/bevfusion
공식 코드BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
https://github.com/mohamednagymostafa/dfr-fastmot
공식 코드https://github.com/mohamednagymostafa/kitti-mot.bench-evals
공식 코드https://github.com/mohsij/space-event-rgb-fusion
공식 코드Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting
https://github.com/mrnabati/CenterFusion
공식 코드CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
https://github.com/nesl/gdtm
공식 코드GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
https://github.com/nikhil-garg/EMG_exp
공식 코드Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.