Skip to content

Apollo

  • Software
  • Cars
  • Framework
  • Reference stack

Apollo is an open-source platform for accelerating the development, testing, and deployment of autonomous vehicles, organized into versioned releases from 1.0 up to 11.0.

Made by Baidu.

Source on GitHub: github.com/ApolloAuto/apollo (opens in a new tab). Facts read at commit d53aa3d (opens in a new tab).

Licenses

Code
Apache-2.0 (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit d53aa3d (opens in a new tab), on 16 Oct 2026.

Commercial use
Yes

What it does

  • Provides a modular architecture covering perception, localization, prediction, planning, and control for self-driving vehicles.
  • Ships development tools such as Dreamview and Dreamview Plus, plus package management for building custom applications.
  • Supports simulation and deep learning models for perception and prediction, with incremental training for extension.
  • Apollo 11.0 focuses on large-scale deployment of autonomous vehicles in high-value scenarios, with upgraded perception, localization, planning, and toolchains.
  • Installation is done through Docker containers, with hardware integration and calibration guides for supported vehicles such as the Lincoln MKZ.

Written by Robotheca from the project's README (opens in a new tab) at commit d53aa3d.

Getting started

Difficulty
Reference stack: not buildable at home

Maintenance

Status
Maintained: a commit in the last 12 months
Newest commit
16 Apr 2026 on master
Latest release
apollo-v9.0.0 (18 Dec 2023)

Checked on GitHub on 16 Oct 2026.

Robots on Robotheca that use it

No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.