The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …

In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant
interest from both industry and academia due to its inherent advantages, such as providing …

We propose a 3D multi-object tracking (MOT) solution using only 2D detections from
monocular cameras, which automatically initiates/terminates tracks as well as resolves track …

High-definition (HD) semantic map generation of the environment is an essential component
of autonomous driving. Existing methods have achieved good performance in this task by …

Taking advantage of multi-view aggregation presents a promising solution to tackle
challenges such as occlusion and missed detection in multi-object tracking and detection …

Multi-view aggregation promises to overcome the occlusion and missed detection challenge
in multi-object detection and tracking. Recent approaches in multi-view detection and 3D …

Although deep-learning based methods for monocular pedestrian detection have made
great progress, they are still vulnerable to heavy occlusions. Using multi-view information …

Recent deep learning-based multi-view people detection (MVD) methods have shown
promising results on existing datasets. However, current methods are mainly trained and …

Multi-camera tracking systems are gaining popularity in applications that demand high-
quality tracking results, such as frictionless checkout. In cluttered and crowded …

Traditional phenoty** relies on experts visually examining plants for physical traits like
size, color, or disease presence. Measurements are taken manually using rulers, scales, or …