适配-BeamNG.tech.v0.27.2.0

Example Guide

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:

• Feature Overview
• East Coast Random
• Vehicle Road Bounding Box
• Annotation and Bounding Boxes

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
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
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
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
Simple Driver Comfort Analysis	use the IMU sensor
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
West Coast LiDAR	use the LiDAR 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.