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[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

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I try to train the model but the GPU-Util is only 20% with cuda 10.1 and torch 1.7. Is that normal?

Hi, Thanks for the interesting work and well documentation! I follow the instructions provided in the README file to run the **Autopilot** but I face the following errors: 1. I...

Hello, Thank you for your great work if I generate the dataset correctly, what will be its folder placement structure? Could you give me an example?Just a screenshot is ok.

I am not able to replicate the gif shown in README wherein you are able to visualize waypoint offsets too along with dashcam and semantic segmentation from BEV. Could you...

Hi, I am taking a look at your code and I noticed you predict 5 waypoints in the decoder network, but you only use 4 waypoints for actually controlling the...

Thanks for the work and the open source code. In the controller, I know that the use of red light for the longitudinal controller. But what if just use raw...

Hi, Thanks for the interesting work ! I follow the step of Data Generation provides in the README file, "./leaderboard/scripts/run_evaluation.sh" to run the Autopilot. But I havesome questions,as the following...

![1691029141921](https://github.com/autonomousvision/neat/assets/38905689/4d691100-d10e-4fcd-8ba3-22f5d7a6cbcc) We encountered such an error while running the training. May I ask why?

![0010](https://github.com/autonomousvision/neat/assets/38905689/d4940705-64ad-4ed0-a08c-723f792c3b5a) Hi,I don't quite understand the effect of the topdown map, I can't see some map features. Can you explain it when you have time? Thank you!