A Survey on Deep Domain Adaptation for LiDAR Perception

Understand

Scalable systems for automated driving have to reliably cope with an open-world setting.

• This means, the perception systems are exposed to drastic domain shifts, like changes in weather conditions, time-dependent aspects, or geographic regions.
• Covering all domains with annotated data is impossible because of the endless variations of domains and the time-consuming and expensive annotation process.
• Furthermore, fast development cycles of the system additionally introduce hardware changes, such as sensor types and vehicle setups, and the required knowledge transfer from simulation.