A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://zenodo.org/record/7755647
下载链接
链接失效反馈官方服务：
资源简介：
This dataset is a part of the supplementary materials to the 2017 RAL article with the same title.
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
IEEE Robotics and Automation Letters
Alessandro Giusti, Jerome Guzzi, Dan Ciresan, Fang Lin He, Juan Pablo Rodriguez, Flavio Fontana, Matthias Faessler, Christian Forster, Jurgen Schmidhuber, Gianni A. Di Caro, Davide Scaramuzza, Luca Gambardella
You can find more information on the project web page (alessandrog@idsia.ch).
Dataset
Folders 001..010 contain the dataset used to train the networks. Folder 000 contains preliminary test data. Folders 011..014 contain data for testing the system.
000 and 003 were shot with an handheld cellphone.
001 and 002 were shot with 3 GOPRO Hero 3 cameras, fixed on the head with straps.
004..014 were shot with 3 Bluefox cameras, fixed on a rigid helm (the same model and with the same lens as the camera mounted on the quadcopter).
创建时间：
2023-03-21
