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teslamotors avatar

teslamotors/light-show

0
View on GitHub↗
3,913 stars·501 forks·Python·24 views

Light Show

Light Show is a toolkit for composing, validating, and executing synchronized lighting and mechanical performances on vehicle hardware. It provides a framework for creating complex shows that integrate audio tracks with precise lighting patterns and the movement of mechanical components.

The project utilizes a structured data format to define sequences, allowing for the granular control of individual light segments, intensity transitions, and interior display states. It includes specialized utilities for coordinating these animations across multiple vehicles simultaneously, ensuring that lighting and motion remain aligned across separate hardware units.

To ensure hardware compatibility and operational safety, the toolkit includes automated validation processes that check sequence files against technical constraints before they are deployed. Performances are executed by loading these validated files and associated audio data from external storage directly onto the vehicle firmware.

Features

  • Vehicle Lighting Programming - Provides a comprehensive toolkit for composing, validating, and executing synchronized lighting and mechanical performances on vehicle hardware.
  • Hardware Abstraction Layers - Translates high-level animation sequences into specific binary commands and intensity ramps for vehicle hardware controllers.
  • Multi-Vehicle Choreography - Provides utilities for synchronizing lighting and mechanical animations across multiple vehicles to execute a unified performance.
  • Hardware Sequence Validators - Verifies sequence files against technical constraints and safety limits to ensure hardware compatibility before deployment.
  • External Audio Loading - Provides utilities for loading synchronized audio and sequence data from external storage media for performance execution.
  • Light Show Composers - Merges audio files with lighting and mechanical sequence data to create custom, synchronized performances.
  • Ambient Lighting Controllers - Modifies the color and brightness of interior displays and accent lighting to customize the cabin environment.
  • JSON Device Specifications - Defines lighting and mechanical movement sequences using a structured JSON format for offline composition.
  • Distributed Clock Synchronizers - Aligns timing across multiple vehicle hardware units to ensure synchronized performance execution.
  • Mechanical Animations - Programs the rhythmic movement of vehicle components like mirrors and windows as part of a coordinated show.
  • Lighting Intensity Controllers - Manages lighting intensity with instant states or gradual ramping effects for smooth visual transitions.
  • Multi-Vehicle Fleet Coordinators - Coordinates complex lighting and mechanical animations across multiple vehicles to run as a single unified performance.
  • External Storage Sequence Loaders - Enables the execution of custom performances by loading sequence and audio data from external storage drives.
  • LED Segment Managers - Controls specific pixels within light bars and accent segments to produce high-resolution visual effects.
  • Hardware Animation Specifications - Uses a structured JSON format to define complex lighting patterns, mechanical movements, and audio-synchronized events.
  • Timeline Synchronization - Coordinates lighting and mechanical events against precise timestamps to maintain alignment with audio tracks.

Star history

Star history chart for teslamotors/light-showStar history chart for teslamotors/light-show

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does teslamotors/light-show do?

Light Show is a toolkit for composing, validating, and executing synchronized lighting and mechanical performances on vehicle hardware. It provides a framework for creating complex shows that integrate audio tracks with precise lighting patterns and the movement of mechanical components.

What are the main features of teslamotors/light-show?

The main features of teslamotors/light-show are: Vehicle Lighting Programming, Hardware Abstraction Layers, Multi-Vehicle Choreography, Hardware Sequence Validators, External Audio Loading, Light Show Composers, Ambient Lighting Controllers, JSON Device Specifications.

Which projects share features with teslamotors/light-show?

Projects with overlapping indexed features include: commaai/opendbc — OpenDBC is a CAN bus interface library and telemetry parser designed to read and write messages to a vehicle network.… autowarefoundation/autoware — Autoware is an open-source autonomous driving software platform built on the robotics middleware standard. It provides… commaai/openpilot — Openpilot is an open-source driver assistance system that integrates with vehicle control units to provide automated… greatscottgadgets/hackrf — This project is a software-defined radio platform designed to capture, analyze, and broadcast radio frequency signals… amov-lab/prometheus — Prometheus is an autonomous drone flight stack providing a software suite for navigation, target recognition, and… hyperion-project/hyperion.ng — Hyperion is an ambient lighting controller and screen color capture engine designed to synchronize networked LED…

Projects sharing features with Light Show

These projects share indexed features with Light Show. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • commaai/opendbccommaai avatar

    commaai/opendbc

    2,943View on GitHub↗

    OpenDBC is a CAN bus interface library and telemetry parser designed to read and write messages to a vehicle network. It functions as an automotive hardware abstraction layer that maps generic control signals to model-specific bus IDs across different vehicle brands, while acting as a control system that converts high-level steering and acceleration requests into raw binary packets for vehicle actuators. The project includes a vehicle network safety gateway that restricts or blocks specific control messages based on the system state to prevent unsafe maneuvers. It provides a standardized way

    Pythonautomotivecandbc
    View on GitHub↗2,943
  • autowarefoundation/autowareautowarefoundation avatar

    autowarefoundation/autoware

    11,742View on GitHub↗

    Autoware is an open-source autonomous driving software platform built on the robotics middleware standard. It provides a comprehensive stack for managing perception, planning, and control, enabling the development and deployment of full-stack autonomous driving software on commercial transport hardware. The platform utilizes a component-based modular architecture that organizes driving functions into isolated, interchangeable nodes. This design is supported by a hardware-abstraction layer and plugin-based sensor integration, which allow the software to interface with diverse hardware configur

    Dockerfileautonomous-drivingautonomous-vehiclesautoware
    View on GitHub↗11,742
  • commaai/openpilotcommaai avatar

    commaai/openpilot

    61,375View on GitHub↗

    Openpilot is an open-source driver assistance system that integrates with vehicle control units to provide automated steering, acceleration, and braking. It functions as an automotive robotics middleware, utilizing a specialized runtime environment to process sensor data and execute real-time control commands that manage vehicle dynamics. The platform distinguishes itself through a hardware-agnostic interface that translates standardized driving commands into the proprietary protocols required by a wide range of vehicle makes and models. It employs neural-network-based path planning to predic

    Pythonadvanced-driver-assistance-systemsdriver-assistance-systemsrobotics
    View on GitHub↗61,375
  • amov-lab/prometheusamov-lab avatar

    amov-lab/Prometheus

    3,050View on GitHub↗

    Prometheus is an autonomous drone flight stack providing a software suite for navigation, target recognition, and flight control. It functions as a computer vision navigation engine and a precision autonomous landing controller, enabling unmanned aerial vehicles to operate without manual pilot input. The system distinguishes itself through multi-vehicle coordination and swarm synchronization, allowing aerial and ground vehicles to maintain formations and execute joint maneuvers via a shared communication framework. It further integrates a simulation environment for software-in-the-loop testin

    C++controlgazebomavros
    View on GitHub↗3,050
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