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data
data
 
 
modInterface
modInterface
 
 
GPS_trajectory.py
GPS_trajectory.py
 
 
IdealRADARSensor_IDs_tracking.py
IdealRADARSensor_IDs_tracking.py
 
 
IdealRADARSensor_plot_data.py
IdealRADARSensor_plot_data.py
 
 
README.md
README.md
 
 
acc_test.py
acc_test.py
 
 
access_road_network.ipynb
access_road_network.ipynb
 
 
adas_ultrasonic.py
adas_ultrasonic.py
 
 
advanced_comfort_analysis.ipynb
advanced_comfort_analysis.ipynb
 
 
ai_line.py
ai_line.py
 
 
ai_waypoints.py
ai_waypoints.py
 
 
annotation_bounding_boxes.ipynb
annotation_bounding_boxes.ipynb
 
 
camera_streaming.py
camera_streaming.py
 
 
change_settings.py
change_settings.py
 
 
checkpoints.py
checkpoints.py
 
 
east_coast_random.py
east_coast_random.py
 
 
faster_than_realtime.py
faster_than_realtime.py
 
 
feature_overview.ipynb
feature_overview.ipynb
 
 
heightmap_importer.py
heightmap_importer.py
 
 
import_peaks_and_roads.py
import_peaks_and_roads.py
 
 
lka_example.py
lka_example.py
 
 
map_sensor_configuration.py
map_sensor_configuration.py
 
 
multi_client.ipynb
multi_client.ipynb
 
 
multishot_camera.ipynb
multishot_camera.ipynb
 
 
object_placement.ipynb
object_placement.ipynb
 
 
platooning.py
platooning.py
 
 
powertrain_data.ipynb
powertrain_data.ipynb
 
 
procedural_meshes.py
procedural_meshes.py
 
 
radar_analysis.ipynb
radar_analysis.ipynb
 
 
road_definition.py
road_definition.py
 
 
road_network_exporter.py
road_network_exporter.py
 
 
road_network_importer.py
road_network_importer.py
 
 
roads_plot.ipynb
roads_plot.ipynb
 
 
scenario_control.ipynb
scenario_control.ipynb
 
 
smallgrid_IMU.py
smallgrid_IMU.py
 
 
spawning.ipynb
spawning.ipynb
 
 
traffic_configuration.py
traffic_configuration.py
 
 
ultrasonic_demo.py
ultrasonic_demo.py
 
 
vehicle_logging.py
vehicle_logging.py
 
 
vehicle_mesh_data.py
vehicle_mesh_data.py
 
 
vehicle_road_bounding_box.ipynb
vehicle_road_bounding_box.ipynb
 
 
vehicle_sensor_configuration.py
vehicle_sensor_configuration.py
 
 
vehicle_state_plotting.ipynb
vehicle_state_plotting.ipynb
 
 
west_coast_IMU.py
west_coast_IMU.py
 
 
west_coast_lidar.py
west_coast_lidar.py
 
 
west_coast_radar.py
west_coast_radar.py
 
 

README.md

Examples

To help you getting started wih our library, we have added a collection of examples illustrating our features. This guide helps exploring the collection and can help in finding examples for specific problems and features.

For getting started we suggest taking a look at the following examples:

More quick usage examples can be found in our test suite.

Name How to
Feature Overview
  • see the basics of what can be done with BeamNGpy
Scenario Control
  • understand the different ways of creating, loading and controlling scenarios
Modding Interface
  • write and deploy a mod that interacts with BeamNGpy
  • write python functions that interact with functions of the custom mod
Road Network
  • fetch information about the current level's road network
AI Line
  • use the simulator's AI with BeamNGpy
AI Waypoints
  • use the simulator's AI with BeamNGpy
Annotation and Bounding Boxes
  • get semantic annotations
  • get instance annotations
  • draw bounding boxes (note that this feature is not ready for use yet)
Settings
  • change the simulation's graphics settings
Checkpoints
  • add checkpoints to custom scenarios
West Coast LiDAR
  • use the LiDAR sensor
Multiple Clients
  • connect multiple BeamNGpy instances to the simulation
Multishot Camera
  • change the position and rotation of a camera
Object Placement
  • define a custom scenario for a given map
  • generate procedural content, i.e. simple meshes
Procedural Meshes
  • generate procedural content
Road Definition
  • add custom roads to given maps
Advanced Driver Comfort Analysis
  • use the Advanced IMU sensor
Spawning
  • spawn a new vehicle after starting the scenario
Ultrasonic Sensor
  • use the ultrasonic sensor
Vehicle Road Bounding Box
  • create a custom road
  • extract road information from the simulation
  • get a vehicle's bounding box
Vehicle State Plotting
  • use the state sensor
East Coast Random
  • create a simple scenario
  • use the simulator's AI with BeamNGpy
Powertrain Analysis
  • use the Powertrain sensor
Road Network Exporter
  • Export BeamNG maps as .xodr files (OpenDRIVE).
  • The exported road networks contain elevation and road wideness data, along with junction connectivity.
  • BeamNGpy also includes a new class with which to analyse the road network data oneself, and process it as required.
Road Network Importer
  • Import a road network from different formats
Platooning
  • form a vehicle platooning formation with BeamNGpy
Parking Assist and Blind Spot Detection
  • get parking assistance
  • blind spot HUD notifications
Lane-Keeping Assist
  • automatically limit vehicle speed based on road curvature
  • force feedback on accidental lane exit
West Coast Radar
  • use the RADAR sensor
West Coast IMU
  • use the IMU sensor
ACC Test
  • use the radar for adaptive cruise control
Camera Streaming
  • stream camera images
Faster Than Realtime
  • run the simulation at a faster rate than realtime
GPS Trajectory
  • get the GPS trajectory of a vehicle
Heightmap Importer
  • import a heightmap
Ideal RADAR Sensor IDs Tracking
  • track objects with the Ideal RADAR sensor
Ideal RADAR Sensor Plot Data
  • plot data from the Ideal RADAR sensor
Import Peaks and Roads
  • import peaks and roads
Map Sensor Configuration
  • polling all sensors of a configuration
Radar Analysis
  • analyze radar data
Roads Plot
  • plotting a road profile
Small Grid IMU
  • use the IMU sensor
Traffic Configuration
  • configure traffic
Vehicle Logging
  • log vehicle data
Vehicle Mesh Data
  • get vehicle mesh data
Vehicle Sensor Configuration
  • configure the vehicle sensors