Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:vehicles
|
| gptkbp:challenges |
ethical considerations
public acceptance regulatory challenges technical challenges |
| gptkbp:collaborates_with |
universities
government agencies private companies |
| gptkbp:competes_in |
autonomous vehicle races
|
| gptkbp:developed_by |
gptkb:DARPA
|
| gptkbp:goal |
to advance autonomous driving technology
|
| gptkbp:has_feature |
real-time data processing
vehicle-to-vehicle communication path planning vehicle-to-infrastructure communication obstacle detection self-navigation |
| gptkbp:has_impact_on |
gptkb:public_transportation
gptkb:automotive_industry gptkb:urban_planning military applications |
| https://www.w3.org/2000/01/rdf-schema#label |
DARPA's Autonomous Vehicle
|
| gptkbp:influenced_by |
gptkb:AI_technology
safety regulations traffic laws robotics research |
| gptkbp:is_part_of |
smart city projects
robotics competitions transportation innovation initiatives military research projects AI development programs |
| gptkbp:is_tested_for |
highway conditions
various environments urban settings adverse weather conditions rural settings |
| gptkbp:launched_in |
gptkb:2004
|
| gptkbp:outcome |
increased efficiency
new business models improved algorithms enhanced safety features reduced costs |
| gptkbp:related_to |
gptkb:Grand_Challenge
gptkb:Urban_Challenge |
| gptkbp:uses_technology |
gptkb:radar_system
gptkb:GPS gptkb:machine_learning computer vision sensor fusion LIDAR |
| gptkbp:bfsParent |
gptkb:DARPA
|
| gptkbp:bfsLayer |
4
|