Overview
Open-source autonomous driving software stack built on ROS 2. Maintained by the Autoware Foundation.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Technology
Focus
Data & sources
Web sources
1
1 source backing this record.View all →
Partnerships
Every company Autoware has built with, alongside the ones only announced in a press release.
Most-frequent partners
- 1NVIDIA1× joint132 total
Most recent
Relationships
Current leadership (1)
- Shinpei Kato Foundersecondary-verified
Founders (1)
- Shinpei Katono longer at company
previously at University of Tokyo, Carnegie Mellon University, Tier IV
Safety record
No incidents on record for Autoware.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Recent coverage
Autoware in third-party press
Tier IV and TUM integrate Nvidia Hyperion to accelerate Autoware-based L4 AV projects in Germany
Natix to supply multi-camera data for Autoware’s E2E model
Neolix Technologies Joins Autoware Foundation as Premium Member To Deliver Fully Commercialized Autonomous Driving Solutions to the Ecosystem
Mentioned on (4)
Registry pages whose text names Autoware.
Companies (1)
Robots and products (1)
AI systems (1)
People (1)
Partnerships
1 total · 1 operating
Every company Autoware has built with, alongside the ones only announced in a press release.
Most recent
Most-frequent partners
- 1NVIDIA1× joint132 total
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 8, 2026
Added to the verified registry
Sources (1)
Common questions
What is Autoware?
What does Autoware make?
Who is the CEO of Autoware?
Where is Autoware headquartered?
Is Autoware a top robotics company?
Is Autoware safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-10-10
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-10
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Autoware.In the press
Recent coverage mentioning Autoware from third-party publications. Automatically surfaced; not part of the verified registry record.
Tier IV and TUM integrate Nvidia Hyperion to accelerate Autoware-based L4 AV projects in Germany
Tier IV and the Technical University of Munich (TUM) have announced an expanded collaboration centered on Nvidia Hyperion and the Halos safety system to scale safe,…
Natix to supply multi-camera data for Autoware’s E2E model
Neolix Technologies Joins Autoware Foundation as Premium Member To Deliver Fully Commercialized Autonomous Driving Solutions to the Ecosystem
Strengthening Autoware for the next decade
Advancing Open Autonomous Driving Perception at Scale
How to implement multi-sensor fusion algorithms for autonomous vehicles
Developing a mapless architecture for Autoware
New Verification Framework Uncovers Safety Lapses In Self-Driving System Autoware
DH Autoware Participates in Performance Sharing Exhibition, Reveals Core Communication Technology for Autonomous Driving
Tier IV Unveils Steering-free Robotaxi Prototype With Open-source Autoware Software
TIER IV conducts robotaxi pilot tests in Tokyo
NxtWave, TIER IV, and Autoware launch world’s largest AV developer community
Machine-readable surfaces
- Markdown mirror: /companies/autoware.md
- RSS feed: /companies/autoware/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/710287b7-105e-4413-8147-c85dee9453c3
- Revision history: /companies/autoware/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Heat Index
Serious52/100
A composite of competitive footprint, funding, press velocity, active partnerships, and supply-chain edges. Different from the Intelligence score below (which is per-form-factor productization). Non-robotics companies cap at 25.
Reality vs attention
Not enough verified signal yet to place Autoware against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Limited public visibility and press coverage relative to peers.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Nov 4, 2026