Statements (116)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Company
|
gptkbp:acquisition |
Acquired by HERE Technologies
Acquired by a major automotive company |
gptkbp:ceo |
gptkb:James_Wu
|
gptkbp:client |
Automotive manufacturers
Logistics companies Fleet operators Automotive OEMs |
gptkbp:collaboration |
Automotive manufacturers
|
gptkbp:feature |
gptkb:Internationalization_support
Scalability Data analytics High precision Path planning Sensor fusion Customizable maps 3 D mapping |
gptkbp:focus |
Mapping technology
Mapping technology for self-driving cars |
gptkbp:founded |
gptkb:2021
|
gptkbp:founded_in |
gptkb:2016
|
gptkbp:founder |
gptkb:James_Wu
|
gptkbp:goal |
Enhance navigation accuracy
Reduce mapping costs Improve safety in autonomous driving |
gptkbp:headquarters |
gptkb:Palo_Alto,_California
|
https://www.w3.org/2000/01/rdf-schema#label |
Deep Map
|
gptkbp:industry |
Autonomous Driving
|
gptkbp:investment |
gptkb:Series_A
$25 million GV (formerly Google Ventures) |
gptkbp:is_a_solution_for |
Map creation and maintenance
|
gptkbp:location |
gptkb:United_States
|
gptkbp:mission |
To enable safe and efficient autonomous driving.
|
gptkbp:number_of_employees |
50-100
|
gptkbp:partnership |
gptkb:Pony.ai
gptkb:Canoo gptkb:Aurora gptkb:Mazda gptkb:Nuro gptkb:Arrival gptkb:Lyft gptkb:Uber gptkb:Aptiv gptkb:Baidu gptkb:Ford gptkb:General_Motors gptkb:Honda gptkb:Hyundai gptkb:Mercedes-Benz gptkb:Peugeot gptkb:Renault gptkb:Subaru gptkb:Rivian gptkb:BMW gptkb:Kia gptkb:Tesla gptkb:Toyota gptkb:Volkswagen gptkb:Lucid_Motors gptkb:Waymo gptkb:Lordstown_Motors gptkb:Zoox gptkb:FCA_(Fiat_Chrysler_Automobiles) gptkb:NVIDIA gptkb:Nissan gptkb:cruise_ships gptkb:Daimler gptkb:Faraday_Future |
gptkbp:product |
gptkb:maps
High-definition maps Map API |
gptkbp:service |
Map data services
Map data for autonomous vehicles |
gptkbp:target_market |
Autonomous vehicles
|
gptkbp:technology |
gptkb:Community_engagement_initiatives
gptkb:Regulatory_compliance_efforts Data analytics Real-time updates Machine learning algorithms Sustainability practices API for developers Open-source contributions Research partnerships User-friendly interfaces Ethical AI practices Sensor fusion Collaboration with universities Data collection methods Data security measures Geospatial data processing Partnerships with tech companies Continuous improvement processes Focus on emerging technologies Focus on international markets Map editing tools User feedback integration Support for multiple sensors Map visualization tools 3 D mapping Real-time map updates High-precision mapping AI-driven mapping Localization technology Adaptability to different markets Cloud-based mapping solutions Focus on rural environments Focus on urban environments Global mapping capabilities Integration with vehicle systems Real-world testing environments Scalable mapping solutions Support for various vehicle types |
gptkbp:website |
gptkb:deepmap.ai
|
gptkbp:bfsParent |
gptkb:NVIDIA
|
gptkbp:bfsLayer |
4
|