Autonomous Driving Fusion Dataset Annotation using Xtreme1

I have hands-on experience in annotating multi-sensor fusion datasets for autonomous driving using the Xtreme1 platform. This includes synchronized annotation of Lidar point clouds and camera images, ensuring accurate 3D object labeling under diverse driving scenarios. Using Xtreme1’s intuitive interface, I can efficiently perform tasks such as 3D bounding box annotation, sensor calibration validation, and temporal consistency checks for long sequences. This work supports training high-quality perception models in complex urban environments and contributes to reliable sensor fusion in autonomous systems.