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|
%global _empty_manifest_terminate_build 0
Name: python-commonroad-vehicle-models
Version: 3.0.2
Release: 1
Summary: Implementation of vehicle models with varying abstraction levels ranging from kinematic single track model to a multi-body model.
License: BSD
URL: https://commonroad.in.tum.de/
Source0: https://mirrors.aliyun.com/pypi/web/packages/bf/e1/bc6dbacfc1af64c73e0610a7b71a47510c7d77d0d1eba88737c423fa84e1/commonroad-vehicle-models-3.0.2.tar.gz
BuildArch: noarch
Requires: python3-omegaconf
%description
# Python Vehicle Models of CommonRoad
This package contains all vehicle models of the [CommonRoad benchmarks](https://commonroad.in.tum.de/).
We provide implementations of the vehicle dynamics, routines to convert initial states, and vehicle parameters.
## Documentation
For a detailed explanation of the vehicle models, please have a look at the [documentation](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/blob/master/vehicleModels_commonRoad.pdf).
## Installation
To use vehicle models and parameters, run
```
pip install commonroad-vehicle-models
```
## Code examples
For an extended simulation example demonstrating the advantages of more complicated models, we refer to our [gitlab repository](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/-/tree/master/PYTHON/scripts). A simple simulation example for using the single-track model in combination with an odeint solver would be
```python3
from scipy.integrate import odeint
import numpy
from vehiclemodels.init_ks import init_ks
from vehiclemodels.parameters_vehicle1 import parameters_vehicle1
from vehiclemodels.vehicle_dynamics_ks import vehicle_dynamics_ks
def func_KS(x, t, u, p):
f = vehicle_dynamics_ks(x, u, p)
return f
tStart = 0 # start time
tFinal = 1 # start time
# load vehicle parameters
p = parameters_vehicle1()
# initial state for simulation
delta0 = 0
vel0 = 15
Psi0 = 0
sy0 = 0
initialState = [0, sy0, delta0, vel0, Psi0]
x0_KS = init_ks(initialState)
t = numpy.arange(0, tFinal, 0.01)
u = [0, 5]
x = odeint(func_KS, x0_KS, t, args=(u, p))
```
## Contribute
If you want to contribute new vehicle models, you can create a merge request in our [repository](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/), or contact via our [forum](https://commonroad.in.tum.de/forum/).
## Changelog
Compared to version 2.0.0 the following features were added/changed:
* linearized kinematic single-track model added as an additional vehicle model
* vehicle parameters are stored in YAML-files
* parameter configuration of vehicles are generated from YAML-files using [OmegaConf](https://omegaconf.readthedocs.io/en/2.2_branch/) (backwards compatible)
## Referencing
If you use CommonRoad for your research, please cite [our paper](http://mediatum.ub.tum.de/doc/1379638/776321.pdf):
```
@inproceedings{Althoff2017a,
author = {Althoff, Matthias and Koschi, Markus and Manzinger, Stefanie},
title = {CommonRoad: Composable benchmarks for motion planning on roads},
booktitle = {Proc. of the IEEE Intelligent Vehicles Symposium},
year = {2017},
}
```
%package -n python3-commonroad-vehicle-models
Summary: Implementation of vehicle models with varying abstraction levels ranging from kinematic single track model to a multi-body model.
Provides: python-commonroad-vehicle-models
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-commonroad-vehicle-models
# Python Vehicle Models of CommonRoad
This package contains all vehicle models of the [CommonRoad benchmarks](https://commonroad.in.tum.de/).
We provide implementations of the vehicle dynamics, routines to convert initial states, and vehicle parameters.
## Documentation
For a detailed explanation of the vehicle models, please have a look at the [documentation](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/blob/master/vehicleModels_commonRoad.pdf).
## Installation
To use vehicle models and parameters, run
```
pip install commonroad-vehicle-models
```
## Code examples
For an extended simulation example demonstrating the advantages of more complicated models, we refer to our [gitlab repository](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/-/tree/master/PYTHON/scripts). A simple simulation example for using the single-track model in combination with an odeint solver would be
```python3
from scipy.integrate import odeint
import numpy
from vehiclemodels.init_ks import init_ks
from vehiclemodels.parameters_vehicle1 import parameters_vehicle1
from vehiclemodels.vehicle_dynamics_ks import vehicle_dynamics_ks
def func_KS(x, t, u, p):
f = vehicle_dynamics_ks(x, u, p)
return f
tStart = 0 # start time
tFinal = 1 # start time
# load vehicle parameters
p = parameters_vehicle1()
# initial state for simulation
delta0 = 0
vel0 = 15
Psi0 = 0
sy0 = 0
initialState = [0, sy0, delta0, vel0, Psi0]
x0_KS = init_ks(initialState)
t = numpy.arange(0, tFinal, 0.01)
u = [0, 5]
x = odeint(func_KS, x0_KS, t, args=(u, p))
```
## Contribute
If you want to contribute new vehicle models, you can create a merge request in our [repository](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/), or contact via our [forum](https://commonroad.in.tum.de/forum/).
## Changelog
Compared to version 2.0.0 the following features were added/changed:
* linearized kinematic single-track model added as an additional vehicle model
* vehicle parameters are stored in YAML-files
* parameter configuration of vehicles are generated from YAML-files using [OmegaConf](https://omegaconf.readthedocs.io/en/2.2_branch/) (backwards compatible)
## Referencing
If you use CommonRoad for your research, please cite [our paper](http://mediatum.ub.tum.de/doc/1379638/776321.pdf):
```
@inproceedings{Althoff2017a,
author = {Althoff, Matthias and Koschi, Markus and Manzinger, Stefanie},
title = {CommonRoad: Composable benchmarks for motion planning on roads},
booktitle = {Proc. of the IEEE Intelligent Vehicles Symposium},
year = {2017},
}
```
%package help
Summary: Development documents and examples for commonroad-vehicle-models
Provides: python3-commonroad-vehicle-models-doc
%description help
# Python Vehicle Models of CommonRoad
This package contains all vehicle models of the [CommonRoad benchmarks](https://commonroad.in.tum.de/).
We provide implementations of the vehicle dynamics, routines to convert initial states, and vehicle parameters.
## Documentation
For a detailed explanation of the vehicle models, please have a look at the [documentation](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/blob/master/vehicleModels_commonRoad.pdf).
## Installation
To use vehicle models and parameters, run
```
pip install commonroad-vehicle-models
```
## Code examples
For an extended simulation example demonstrating the advantages of more complicated models, we refer to our [gitlab repository](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/-/tree/master/PYTHON/scripts). A simple simulation example for using the single-track model in combination with an odeint solver would be
```python3
from scipy.integrate import odeint
import numpy
from vehiclemodels.init_ks import init_ks
from vehiclemodels.parameters_vehicle1 import parameters_vehicle1
from vehiclemodels.vehicle_dynamics_ks import vehicle_dynamics_ks
def func_KS(x, t, u, p):
f = vehicle_dynamics_ks(x, u, p)
return f
tStart = 0 # start time
tFinal = 1 # start time
# load vehicle parameters
p = parameters_vehicle1()
# initial state for simulation
delta0 = 0
vel0 = 15
Psi0 = 0
sy0 = 0
initialState = [0, sy0, delta0, vel0, Psi0]
x0_KS = init_ks(initialState)
t = numpy.arange(0, tFinal, 0.01)
u = [0, 5]
x = odeint(func_KS, x0_KS, t, args=(u, p))
```
## Contribute
If you want to contribute new vehicle models, you can create a merge request in our [repository](https://gitlab.lrz.de/tum-cps/commonroad-vehicle-models/), or contact via our [forum](https://commonroad.in.tum.de/forum/).
## Changelog
Compared to version 2.0.0 the following features were added/changed:
* linearized kinematic single-track model added as an additional vehicle model
* vehicle parameters are stored in YAML-files
* parameter configuration of vehicles are generated from YAML-files using [OmegaConf](https://omegaconf.readthedocs.io/en/2.2_branch/) (backwards compatible)
## Referencing
If you use CommonRoad for your research, please cite [our paper](http://mediatum.ub.tum.de/doc/1379638/776321.pdf):
```
@inproceedings{Althoff2017a,
author = {Althoff, Matthias and Koschi, Markus and Manzinger, Stefanie},
title = {CommonRoad: Composable benchmarks for motion planning on roads},
booktitle = {Proc. of the IEEE Intelligent Vehicles Symposium},
year = {2017},
}
```
%prep
%autosetup -n commonroad-vehicle-models-3.0.2
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-commonroad-vehicle-models -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.2-1
- Package Spec generated
|
