Tartan Racing

E95170
autonomous vehicle research team robotics research team

Tartan Racing is an autonomous vehicle research team formed by Carnegie Mellon University and General Motors that gained prominence by winning the 2007 DARPA Urban Challenge.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (4)

Label Occurrences
Tartan Racing canonical 2
Tartan Racing Team 1
Tartan Racing team 1

Statements (44)

Predicate Object
instanceOf autonomous vehicle research team ⓘ
robotics research team ⓘ
abbreviation Tartan Racing self-linksurface differs ⓘ
surface form: Tartan Racing Team
academicPartner CMU ⓘ
surface form: Carnegie Mellon University
achievement first place in the 2007 DARPA Urban Challenge ⓘ
affiliation CMU ⓘ
surface form: Carnegie Mellon University

General Motors ⓘ
award DARPA Urban Challenge winner 2007 ⓘ
basedIn Pittsburgh, Pennsylvania ⓘ
competition DARPA Grand Challenge ⓘ
surface form: 2007 DARPA Urban Challenge
competitionType autonomous vehicle challenge ⓘ
country United States of America ⓘ
surface form: United States
eventLocation Victorville, California ⓘ
field artificial intelligence ⓘ
autonomous vehicles ⓘ
robotics ⓘ
focus self-driving car technology ⓘ
urban autonomous driving ⓘ
formedAs joint CMU–GM research team ⓘ
heritage Carnegie Mellon University Tartan mascot tradition ⓘ
industryPartner General Motors ⓘ
notableFor winning the 2007 DARPA Urban Challenge ⓘ
notableMember Chris Urmson ⓘ
Raghu Rajkumar ⓘ
William L. "Red" Whittaker ⓘ
surface form: William L. Whittaker
operatedBy CMU ⓘ
surface form: Carnegie Mellon University
organizerOfCompetition Defense Advanced Research Projects Agency ⓘ
parentOrganization Robotics Institute, Carnegie Mellon University ⓘ
surface form: Carnegie Mellon University Robotics Institute
project Boss autonomous vehicle ⓘ
researchArea autonomous navigation in urban environments ⓘ
multi-sensor integration for vehicles ⓘ
real-time motion planning ⓘ
vehicle control systems ⓘ
sponsor General Motors ⓘ
technology GPS-based navigation ⓘ
LIDAR-based perception ⓘ
behavioral decision making for vehicles ⓘ
computer vision ⓘ
path planning ⓘ
sensor fusion ⓘ
usedVehicle Chevrolet Tahoe ⓘ
vehicleName Boss ⓘ
vehiclePlatform modified Chevrolet Tahoe SUV ⓘ
yearOfMajorVictory 2007 ⓘ

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: Tartan Racing
Description of subject: Tartan Racing is an autonomous vehicle research team formed by Carnegie Mellon University and General Motors that gained prominence by winning the 2007 DARPA Urban Challenge.

Referenced by (5)

Full triples — surface form annotated when it differs from this entity's canonical label.

Boss → developer → Tartan Racing ⓘ
Boss → teamName → Tartan Racing ⓘ
Boss → operatedBy → Tartan Racing ⓘ
this entity surface form: Tartan Racing team
Tartan Racing → abbreviation → Tartan Racing self-linksurface differs ⓘ
this entity surface form: Tartan Racing Team
William L. "Red" Whittaker → led → Tartan Racing ⓘ
this entity surface form: Tartan Racing team in the DARPA Urban Challenge