Skip to main content

Additional supplement functions to CommonRoad

Project description

CommonRoad Helper Functions

Installation as package

Install this package with the following command:

pip install commonroad-helper-functions

CommonRoad Scenarios

In order to test the provided functions, download the scenarios by cloning the commonroad-scenarios repository:

git clone https://gitlab.lrz.de/tum-cps/commonroad-scenarios.git

Make sure to place the folder on the same directory level as this repository:

|
|-- commonroad_helper_functions (This repository)
|-- commonroad_scenarios
|

Functionalities

Sensor Occlusion Model

As part of this repository a sensor model is implemented. Based on the position of an ego vehicle, the visible area is determined and all dynamic objects within this area are returned. Occlusions by dynamic objects can be taken into account, as well as by the road geometry. The two examples show the visible area in green. In contrast to the left, the right video uses a wall buffer of 5m. This means that we assume a buffer of 5m around the lane geometry that can be seen through.

A dynamic objects is considered as visible as soon as any part of it can be physically seen from the ego position.

Sensor model without wall buffer             Sensor model with 5m wall buffer

Deployment

  1. Import sensor model function

from commonroad_helper_functions.sensor_model import get_visible_objects

  1. Call function

visible_object_ids, visible_area = get_visible_objects(scenario, time_step, ego_pos)

Optional Arguments
  • sensor_radius: Float number that defines the sensor radius in meter
  • occlusion: True if occlusions by dynamic objects should be considered
  • wall_buffer: Float number that defines the wall buffer in meter (see example above)

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

commonroad_helper_functions-1.0.0.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file commonroad_helper_functions-1.0.0.tar.gz.

File metadata

  • Download URL: commonroad_helper_functions-1.0.0.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.1.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/2.7.18

File hashes

Hashes for commonroad_helper_functions-1.0.0.tar.gz
Algorithm Hash digest
SHA256 f633b5590795379882095647e1e37f43c88d78f8cf292e717a8e7888030a595d
MD5 dcbafdccbe763c65096f44c3f1e2e78c
BLAKE2b-256 6f1e835c7e5e23cdfc31fc847243c98d6bafc76e43520c4a309546a9fe29174b

See more details on using hashes here.

File details

Details for the file commonroad_helper_functions-1.0.0-py2-none-any.whl.

File metadata

  • Download URL: commonroad_helper_functions-1.0.0-py2-none-any.whl
  • Upload date:
  • Size: 25.1 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.1.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/2.7.18

File hashes

Hashes for commonroad_helper_functions-1.0.0-py2-none-any.whl
Algorithm Hash digest
SHA256 09addc99632b2a06f3f9bcbdba52e3e7f1af134c5e8d77dab6699352c096df2b
MD5 808fca41476a0a28322836f62029b20c
BLAKE2b-256 a9fa85e4d6e3323e288a996390b0cd944dbe00ec803f8a3697da239b0afc2f9b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page