https://github.com/nsparag/LSTM-INC
공식 코드Incremental learning of LSTM framework for sensor fusion in attitude estimation
Papers with Code 아카이브
Sensor Fusion
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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/nttrd-mdlab/mm-office
공식 코드Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion
https://github.com/olivesgatech/DARai
공식 코드Hierarchical and Multimodal Data for Daily Activity Understanding
https://github.com/opendilab/InterFuser
공식 코드Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
https://github.com/pagand/e2etransfuser
공식 코드https://github.com/pbecker93/vrkn
공식 코드On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
https://github.com/pengwangucla/DeLS-3D
공식 코드The ApolloScape Open Dataset for Autonomous Driving and its Application
https://github.com/princeton-computational-imaging/SeeingThroughFog
공식 코드Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
https://github.com/prs-eth/DeFlow
공식 코드https://github.com/purduedigitaltwin/redformer
공식 코드https://github.com/radar-lab/Lidar_Camera_Automatic_Calibration
공식 코드https://github.com/rakugenson/multi-modal-dataset-for-odometry-estimation
공식 코드TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
https://github.com/rolandying/FusionLane
공식 코드FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks
https://github.com/sanjay-810/savid
공식 코드https://github.com/sanjayseshan/autodrive
공식 코드https://github.com/sisl/MultiAgentVariationalOcclusionInference
공식 코드Multi-Agent Variational Occlusion Inference Using People as Sensors
https://github.com/smin-hwang/ic-fusion
공식 코드Multispectral Detection Transformer with Infrared-Centric Sensor Fusion
https://github.com/synsin0/streamingflow
공식 코드https://github.com/thanhhff/multitsf
공식 코드https://github.com/tianchenji/paad
공식 코드Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
https://github.com/timbroed/cafuser
공식 코드CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes
https://github.com/timbroed/hrfuser
공식 코드HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
https://github.com/tszheichoi/awesome-sensor-logger
공식 코드ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion
https://github.com/tumftm/miscalibrationdetection
공식 코드Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors
https://github.com/viktorkare/bevf
공식 코드Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data
https://github.com/wayveai/fiery
공식 코드FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
https://github.com/weihao1115/mm-sam
공식 코드https://github.com/xuyangbai/transfusion
공식 코드TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
https://github.com/zenseact/zod
공식 코드Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
https://github.com/zeyang-zheng/real-time-roadway-obstacle-detection-for-electric-scooters
공식 코드https://github.com/ziv-lin/r3live_preview
공식 코드https://github.com/ziv-lin/rxlive_handheld
공식 코드https://github.com/zzzbbbzzz/mulsen-ad
공식 코드Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties
https://bitbucket.org/fafz/stein_particle_filter
Stein ICP for Uncertainty Estimation in Point Cloud Matching
https://gitee.com/gai-shaoyan/mind3d
https://github.com/AIasd/ADFuzz
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.