Pedestrian detection under valet parking scenarios is fundamental for
au...
We aim for accurate and efficient line landmark detection for valet park...
The transformer-based semantic segmentation approaches, which divide the...
Autonomous driving systems require many images for analyzing the surroun...
The monocular depth estimation task has recently revealed encouraging
pr...
Channel and spatial attention mechanism has proven to provide an evident...
Vehicle re-identification (Re-ID) is a critical component of the autonom...
Obtaining the position of ego-vehicle is a crucial prerequisite for auto...
Surround-view fisheye perception under valet parking scenes is fundament...
Monocular 3D object detection is a low-cost but challenging task, as it
...
The owner-member relationship between wheels and vehicles contributes
si...
In recent years, 2D Convolutional Networks-based video action recognitio...
The 3D visual perception for vehicles with the surround-view fisheye cam...
Multi-Label Image Classification (MLIC) aims to predict a set of labels ...
It's worth noting that the owner-member relationship between wheels and
...
The vehicle re-identification (ReID) plays a critical role in the percep...
While real-time parking slot detection plays a critical role in valet pa...
Estimating 3D orientation and translation of objects is essential for
in...