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vdo_slam icon vdo_slam

VDO-SLAM: A Visual Dynamic Object-aware SLAM System

vo-slam-review icon vo-slam-review

SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects

wm_frame_to_box icon wm_frame_to_box

ROS node receiving 2D bounding boxes and convert them to 3D bounding boxes using camera depthcloud

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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