Udacity self-driving dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/ymshao/End-to-End-Learning-for-Self-Driving-Cars
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资源简介：
该数据集是由Udacity与谷歌合作，为机器学习纳米学位项目所创建的。它包含了8032张从游戏模拟环境中提取的图片，通过三种不同的摄像头视角提供各种油门和驾驶角度的数值。这些图片的分辨率为80x160像素，由模拟器生成，能够提供关于转向角度的高清晰度信息。该数据集的任务是针对自动驾驶汽车图像处理的域适应研究。
This dataset was developed in partnership between Udacity and Google for the Machine Learning Nanodegree program. It comprises 8032 images extracted from a driving simulation environment, paired with corresponding throttle and steering angle values across three unique camera viewpoints. Each image has a resolution of 80×160 pixels, generated by the simulator to deliver high-fidelity information regarding steering angles. The core task of this dataset is to support domain adaptation research for autonomous vehicle image processing.
提供机构：
Udacity
