-
Robust Edge-Based Visual Odometry
Robust edge-based visual odometry using machine-learned edges. -
Edge-Direct Visual Odometry
Visual odometry algorithm that efficiently utilizes edge pixels to find the relative pose that minimizes the photometric error between images. -
EuRoC MAV Dataset
A dataset for visual odometry, containing 11 sequences with provided ground-truth poses. -
KITTI Odometry Benchmark
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
KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner. -
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in...
Depth estimation, visual odometry, and bird’s-eye-view scene layout estimation present three critical tasks for driving scene perception, which is fundamental for motion... -
KITTI odometry dataset
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... -
KITTI dataset
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...
