opendilab / dos Goto Github PK
View Code? Open in Web Editor NEW[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
License: Apache License 2.0
[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
License: Apache License 2.0
非常感谢博主的论文,深受启发,有一些问题想咨询一下博主
1)论文中的 Interaction modeling 是图神经网络吗?能否进一步详细介绍
2)训练过程中的时间步长是多少呢?假设步长为4,是每一帧都有一个输出和loss作梯度下降,还是只采用最后一帧的输出作梯度下降?
感谢博主
Hi, thanks for your great work!
I have a question while trying to run dos benchmark, I always have
The sensor's configuration used is invalid:
> Illegal sensor extrinsics used for Track [Track.SENSORS]!
error.
I don't know what is wrong with my setting. Do you have any idea, why this is happening and what is the solution?
Thanks a lot in advance!!
作者您好,请问ReasonNet的代码以及环境配置可以开源分享吗,殷切盼复呢,我的邮箱[email protected]
Hello, may I ask what content is saved in this file? For example, what does “available_event_configurations” mean, and what does each “transform” mean?Thank you!
Hi, I wondered how I could record sensor inputs in the evaluation in case I want to investigate the failure cases.
作者您好,我有个问题想请问一下,像DOS_0X_town05.json 这种json文件和对应的xml文件是运行哪个脚本生成的?
请问后续会公开模型训练和验证的代码吗?我对您的工作很感兴趣,向您学习,感谢
请问使用的carla是哪个版本?
你好,我对训练时的数据处理有疑惑,可以帮忙解答一下吗?
按照论文的思路,是要输入连续帧的图像进行训练吗?因为同一个场景连续帧数据的存储记忆训练才有意义?如果是的话,要怎么样输入训练数据呢?因为数据包括了多个城镇和多条路线,存储的连续帧信息可能不是同一场景
Hi,我对这段描述不是很理解,主要有3点:
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