To detect objects in the scene and display their 3D bounding boxes over the live point cloud, check the 3D Object Detection advanced sample code. This tutorial shows how to use your …

In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. In this work we present a novel publicly available stereo based 3D RGB dataset for …

The code contains parts for camera calibration (with the standard OpenCV chessboard pattern), rectification and currently disparity map calculation. Other feature included is object tracking - …

Dec 28, 2023 · We propose a 3D multimodal ReID neural network model based on a stereo camera pair, which can simultaneously carry out multi-task learning for ReID and disparity …

Our proposed method takes high temporal resolution event streams captured from stereo event cameras as input, and could predict the long-term feature motion trajectories of multiple high …

Jul 13, 2023 · To accurately track small objects like the person and analyze their behaviors with a lower cost, in this paper we use stereo camera and propose a combination of 2D detection …

Jul 5, 2018 · We propose a stereo vision-based approach for tracking the camera ego-motion and 3D semantic objects in dynamic autonomous driving scenarios.

Object detection is the ability to identify objects present in an image. Thanks to depth sensing and 3D information, the ZED camera can provide the 2D and 3D positions of the objects in the scene.

In this paper, a stereo camera rig with an ultra-wide baseline distance and conventional cameras with sh-eye lenses is proposed.

Dec 28, 2023 · In this paper, we propose a 3D MOT system based on a cost-effective stereo camera pair, which includes a 3D multimodal re-identification (ReID) model capable of multi …