High-definition (HD) map provides abundant and precise static environmen...
High-definition (HD) map serves as the essential infrastructure of auton...
Autonomous driving requires a comprehensive understanding of the surroun...
Online lane graph construction is a promising but challenging task in
au...
Motion prediction is highly relevant to the perception of dynamic object...
Labeling objects with pixel-wise segmentation requires a huge amount of ...
We present MapTR, a structured end-to-end framework for efficient online...
In this work, we propose PolarBEV for vision-based uneven BEV representa...
3D detection based on surround-view camera system is a critical techniqu...
The query mechanism introduced in the DETR method is changing the paradi...
Learning Bird's Eye View (BEV) representation from surrounding-view came...
Studying the inherent symmetry of data is of great importance in machine...
In this paper, we propose a conceptually novel, efficient, and fully
con...
Exploring large virtual environments, such as cities, is a central task ...
Instance segmentation on point clouds is a fundamental task in 3D scene
...