Towards Minimizing the LiDAR Sim-to-Real Domain Shift: Object-Level Local Domain Adaptation for 3D Point Clouds of Autonomous Vehicles

Towards Minimizing the LiDAR Sim-to-Real Domain Shift: Object-Level Local Domain Adaptation for 3D Point Clouds of Autonomous Vehicles

Perception algorithms for autonomous vehicles demand large, labeled datasets. Real-world data acquisition and annotation costs are high, making synthetic data from simulation a cost-effective option. However, training on one source domain and testing on a target domain can cause a domain shift attri...

Full description

Bibliographic Details
Main Authors: Sebastian Huch, Markus Lienkamp
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
autonomous vehicles
deep learning
domain adaptation
LIDAR
object detection
point cloud
Online Access:https://www.mdpi.com/1424-8220/23/24/9913

Internet

https://www.mdpi.com/1424-8220/23/24/9913

Similar Items