8 datasets found

Robust edge-based visual odometry using machine-learned edges.

Visual odometry algorithm that efficiently utilizes edge pixels to find the relative pose that minimizes the photometric error between images.

A dataset for visual odometry, containing 11 sequences with provided ground-truth poses.

The KITTI odometry dataset is a collection of 22 sequences, containing point clouds, images, and GPS recordings of inner-city traffic, residential areas, highway scenes, and...

KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.

The KITTI odometry dataset is a benchmark for evaluating visual odometry and other computer vision tasks. It contains a large collection of images and corresponding ground-truth...

The dataset used in this paper is an ICL-NUIM dataset, which contains images and depth maps.

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...