Advanced Mapping Robot and High-Resolution Dataset

Abstract

This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. Nine high-resolution cameras and two 32-beam 3D Lidars were used along with a professional, static 3D scanner for ground truth map collection. With all the sensors calibrated on the mapping robot, three datasets are collected to evaluate the performance of mapping algorithms within a room and between rooms. Based on these datasets we generate maps and trajectory data, which is then fed into evaluation algorithms. We provide the datasets for download and the mapping and evaluation procedures are made in a very easily reproducible manner for maximum comparability. We have also conducted a survey on available robotics-related datasets and compiled a big table with those datasets and a number of properties of them.

arXiv commentarXiv admin note: substantial text overlap with arXiv:1905.09483

References in corpus (10)

• The Cityscapes Dataset for Semantic Urban Scene Understanding
• The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
• The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
• A Photometrically Calibrated Benchmark For Monocular Visual Odometry
• LiDAR-Camera Calibration using 3D-3D Point correspondences
• InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
• A Synchronized Stereo and Plenoptic Visual Odometry Dataset
• Complex Urban LiDAR Data Set
• Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets
• The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System