Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
–Neural Information Processing Systems
For a self-driving car to operate reliably, its perceptual system must generalize to the end-user's environment -- ideally without additional annotation efforts. One potential solution is to leverage unlabeled data (e.g., unlabeled LiDAR point
Neural Information Processing Systems
Aug-17-2025, 20:42:03 GMT
- Country:
- Europe > Germany
- Baden-Württemberg > Karlsruhe Region > Karlsruhe (0.04)
- North America > United States
- California > Santa Clara County
- Palo Alto (0.04)
- New York > Tompkins County
- Ithaca (0.04)
- Ohio > Franklin County
- Columbus (0.04)
- California > Santa Clara County
- Europe > Germany
- Genre:
- Research Report > Promising Solution (0.34)
- Industry:
- Information Technology (1.00)
- Transportation > Ground
- Road (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Robots > Autonomous Vehicles (1.00)
- Vision (0.97)
- Information Technology > Artificial Intelligence