Motional

aid: motional
name: Motional
description: >-
  Motional is a Boston-headquartered autonomous-vehicle company formed as a
  joint venture between Hyundai Motor Group and Aptiv. Its core product is an
  all-electric IONIQ 5 robotaxi built on a Hyundai E-GMP platform with
  Motional's full Level 4 autonomous driving stack and a sensor suite including
  lidar, radar, and cameras. Motional operates commercial robotaxi service in
  Las Vegas in partnership with Uber, Uber Eats, and Lyft, with additional
  operations in Boston, Pittsburgh, Santa Monica, Singapore, and Seoul. The
  company's most influential developer artifact is nuScenes, the open
  large-scale multimodal autonomous-driving dataset originally released by
  nuTonomy (a Motional predecessor), now a de facto benchmark for 3D
  perception research. Motional also publishes the nuscenes-devkit Python
  library and AVCDL cybersecurity development lifecycle materials on GitHub.
  Motional does not publish a traditional public developer API; the developer
  surface is research-dataset access plus open-source devkits.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
access: 3rd-Party
created: '2026-05-23'
modified: '2026-05-23'
position: Consumer
tags:
  - Autonomous Vehicles
  - Robotaxi
  - Self-Driving
  - Hyundai
  - Aptiv
  - Open Dataset
  - nuScenes
  - Lidar
url: >-
  https://raw.githubusercontent.com/api-evangelist/motional/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
  - aid: motional:nuscenes
    name: nuScenes Dataset
    description: >-
      nuScenes is a large-scale public dataset for autonomous driving released
      by Motional (formerly nuTonomy). It contains 1,000 driving scenes from
      Boston and Singapore, with full sensor suites (6 cameras, 5 radars, 1
      lidar), 3D bounding box annotations across 23 object classes, and
      HD-map data. nuScenes is widely used to benchmark 3D detection,
      tracking, prediction, and panoptic segmentation models, and is
      distributed via the nuscenes-devkit Python library.
    humanURL: https://www.nuscenes.org
    baseURL: https://github.com/nutonomy/nuscenes-devkit
    tags:
      - Open Dataset
      - 3D Perception
      - Lidar
      - Radar
      - Camera
      - Research
    properties:
      - type: Documentation
        url: https://www.nuscenes.org
      - type: Repository
        url: https://github.com/nutonomy/nuscenes-devkit
      - type: Download
        url: https://www.nuscenes.org/download
  - aid: motional:avcdl
    name: AVCDL - Automated Vehicle Cybersecurity Development Lifecycle
    description: >-
      Open-source materials for Motional's Automated Vehicle Cybersecurity
      Development Lifecycle, intended to share AV-industry cybersecurity
      practices with the broader research and engineering community.
    humanURL: https://github.com/nutonomy/AVCDL
    baseURL: https://github.com/nutonomy/AVCDL
    tags:
      - Cybersecurity
      - SDLC
      - Open Source
    properties:
      - type: Repository
        url: https://github.com/nutonomy/AVCDL
common:
  - type: Website
    url: https://motional.com
  - type: AboutUs
    url: https://motional.com/about
  - type: Newsroom
    url: https://motional.com/newsroom
  - type: News
    url: https://motional.com/news
  - type: TechnicallySpeaking
    url: https://motional.com/technicallyspeaking
  - type: PressKit
    url: https://motional.com/press-kit
  - type: Safety
    url: https://motional.com/safety
  - type: Technology
    url: https://motional.com/technology
  - type: Vehicles
    url: https://motional.com/vehicles
  - type: OpenDataset
    url: https://www.nuscenes.org
  - type: GitHubOrganization
    url: https://github.com/nutonomy
  - type: Careers
    url: https://motional.com/careers
  - type: Contact
    url: https://motional.com/contact
  - type: LinkedIn
    url: https://www.linkedin.com/company/motional
  - type: Twitter
    url: https://twitter.com/motionaldrive
  - type: YouTube
    url: https://www.youtube.com/@MotionalDrive
integrations:
  - name: Uber
  - name: Uber Eats
  - name: Lyft
  - name: Hyundai
  - name: Aptiv
maintainers:
  - FN: Kin Lane
    email: [email protected]