https://github.com/nvidia-ai-iot/lidar_ai_solution
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
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/parzival2/pixhawk_ekf_python
https://github.com/pgchui/openpilot_in_carla
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
https://github.com/pjrambo/VINS-Fusion-gpu
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
https://github.com/pranjali-pathre/vracklay
https://github.com/sebhaan/geobo
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion
https://github.com/taeyoung96/gril-calib
https://github.com/tsinghua-mars-lab/futr3d
https://github.com/wjy199708/my_point_painting
https://github.com/xiaohao-xu/unified-pretrain-ad
https://github.com/xuhao1/VINS-Fisheye
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
https://github.com/yaxi333/PointPainting-Modified
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.