Recently, polar-based representation has shown promising properties in
p...
Multi-modality fusion and multi-task learning are becoming trendy in 3D
...
Contrastive Language-Image Pre-training, benefiting from large-scale
unl...
Self-supervised depth learning from monocular images normally relies on ...
We present ONCE-3DLanes, a real-world autonomous driving dataset with la...
Contemporary deep-learning object detection methods for autonomous drivi...
Aiming at facilitating a real-world, ever-evolving and scalable autonomo...
Current perception models in autonomous driving have become notorious fo...