Papers with Code 아카이브
Visual Odometry
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 1
- 보존된 평가 기록
- 1
Visual Odometry is an important area of information fusion in which the central aim is to estimate the pose of a robot using data collected by visual sensors.
Source: Bi-objective Optimization for Robust RGB-D Visual Odometry
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
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Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/LKLQQ/ssc_resnet50
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The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
https://github.com/Lester1711/DSI15_Capstone
Very Deep Convolutional Networks for Large-Scale Image Recognition
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Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Lornatang/ResNet-PyTorch
https://github.com/Lornatang/tensorflow-vgg
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ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.