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-images.s3.amazonaws.com/shared/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: kin@apievangelist.com