Semantic segmentation is an effective way to perform scene understanding. Recently,
segmentation in 3D Bird's Eye View (BEV) space has become popular as its directly used by …

We present a novel method that extends the self-attention mechanism of a vision transformer
(ViT) for more accurate object detection across diverse datasets. ViTs show strong capability …

In recent years, the data collected for artificial intelligence has grown to an unmanageable
amount. Particularly within industrial applications, such as autonomous vehicles, model …

Detecting a diverse range of objects under various driving scenarios is essential for the
effectiveness of autonomous driving systems. However, the real-world data collected often …

Current parking area perception algorithms primarily focus on detecting vacant slots within a
limited range, relying on error-prone homographic projection for both labeling and inference …

This work addresses the challenging problem of online managing labels from a sequence of
unlabelled multi-object estimates, which is a crucial task in multi-object tracking, particularly …

A key challenge for autonomous driving lies in maintaining real-time situational awareness,
particularly in complex urban settings. This study introduces an innovative cloud-driven …