Depth Estimation for Autonomous Driving (STEREO)

The Second Monocular Depth Estimation ChallengeПодробнее

DPS-Net: Deep Polarimetric Stereo Depth EstimationПодробнее

Detection with Depth for Autonomous Driving (STEREO)Подробнее

Depth Estimation for Autonomous Driving (MONO, Single Camera)Подробнее

FastACVNet - Stereo Depth Estimation (ONNX)Подробнее

SGBM Stereo Depth Estimation | 3D Computer Vision SeriesПодробнее

Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo CuesПодробнее

CVPR #18506 - 2nd Monocular Depth Estimation ChallengeПодробнее

Linear Regression for Machine Learning: a Case Study | Stereo Vision Depth Estimation | Lesson 5Подробнее

ONNX HITNET Stereo Depth estimationПодробнее

Self-Driving Cars - Lecture 9.1 (Reconstruction and Motion: Stereo Matching)Подробнее

Self-Driving Cars - Lecture 9.4 (Reconstruction and Motion: Scene Flow)Подробнее

HITNET Vs. ACVNet Neural Stereo Depth Estimation Comparison (ONNX)Подробнее

VISTA: VIrtual STereo based Augmentation for Depth Estimation in Automated DrivingПодробнее

Event-based Stereo Depth for SLAM in Autonomous Driving (BADUE Workshop at IROS 2022)Подробнее

PyTorch High Res Stereo Depth EstimationПодробнее

Semi-supervised DNN-based stereoПодробнее

Autonomous driving: a camera calibration methodПодробнее

USENIX Security '22 - DoubleStar: Long-Range Attack Towards Depth Estimation based ObstacleПодробнее