Prediction module for CommonRoad
Project description
This package provides a Recurrent Neural Network (RNN) for vehicle trajectory prediction with uncertainties. It builds up on the work of Convolutional Social Pooling. It has been adapted to CommonRoad and extended by the ability of scene understanding and online learning.
For further information see the Readme here: https://github.com/TUMFTM/Wale-Net
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
wale-net-2.0.3.tar.gz
(1.8 MB
view details)
Built Distribution
File details
Details for the file wale-net-2.0.3.tar.gz
.
File metadata
- Download URL: wale-net-2.0.3.tar.gz
- Upload date:
- Size: 1.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2c623b00cff9741cf279a06afea9654991c7701e531545b63ba2eff27956b68a |
|
MD5 | 0984eecf48b7eda3702f8ee25f1c679a |
|
BLAKE2b-256 | 013d595c3cbe3cd5515e05397d1d1bf73b5bc9887fd75e0442701cd434447825 |
File details
Details for the file wale_net-2.0.3-py3-none-any.whl
.
File metadata
- Download URL: wale_net-2.0.3-py3-none-any.whl
- Upload date:
- Size: 1.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.25.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f8e7f456a51d11f69f768025ab7e4c4bf5031133615eea80629faf7e15bce06e |
|
MD5 | df4a5d373d2af8a7601684de2e10438e |
|
BLAKE2b-256 | 6f6b300162fbb1dcb13aba3bd6f197eaeab9084e90a32dc79530e682a5dfd669 |