graviti logo产品公开数据集关于我们
登录
87
0
0
ApolloScape Self Localization
概要
活动

Overview

This repository contains the evaluation scripts for the online self-localization challenge of the ApolloScapes dataset, Where we extended the dataset with more scenes and 100x large data including recorded videos under different lighting conditions, i.e. morning, noon and night, with stereo pair of images. A test dataset for each new scene will be withheld for benchmark. (Notice we will not have point cloud for the very large data due to size of dataset).
Details and download of data from different roads are available. Here are some interesting facts:
For each road, we record it by driving from start-to-end and then end-to-start at different day times, which means at each site along the road, a scene will be looked at from two opposit directions. We provide the set of record id recorded from start-to-end and the set of record id from end-to-start in training set for each road at LoopDirection. One may discover the corresponding images from the camera pose we provided.
TIn this challenge, we recard records from forward (start-to-end) and inverse (end-to-start) driving as records from two different roads, which means we will not have forward videos as training while have inverse driving as testing videos. However, it could be interesting to do that in your research as showed in the work of Semantic Visual Localization.

数据集信息
应用场景Autonomous Driving
标注类型Cuboid2D
LicenseUnknown
更新时间2021-03-24 22:50:25
数据概要
数据格式Point CloudImage
数据数量0
文件大小0B
标注数量0
版权归属方
Baidu
标注方
未知
了解更多和支持
立即开始构建AI
免费开始联系我们