Learning from Maps: Scalable Ground Truth Generation in Autonomous Driving
Buch in deiner Nähe kaufen
Beschreibung
Reliable map perception is essential for scalable autonomous driving, but modern perception systems require large amounts of costly manual annotations. This work presents a scalable approach for automatic training data generation using HD maps as supervision across multiple sensor modalities and tasks. The proposed methods enable online HD map construction, perspective map perception, and cross-modal learning with camera and LiDAR data while significantly reducing manual labeling effort.
Autor*in
Frank Bieder
Themen in »Learning from Maps: Scalable Ground Truth Generation in Autonomous Driving«
Automatisiertes Fahren Deep Learning Kartenbasiertes Lernen HD-Karten Sensorübergreifende Domänenadaption Autonomous Driving Learning from Maps HD Maps Cross-Modal Domain Adaptation