Key-point-based scene understanding is fundamental for autonomous drivin...
Event cameras are capable of responding to log-brightness changes in
mic...
High-quality panoramic images with a Field of View (FoV) of 360-degree a...
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO)
fra...
This letter presents a novel and retractable ring-shaped quadrotor calle...
Visual place recognition has received increasing attention in recent yea...
This paper raises the new task of Fisheye Semantic Completion (FSC), whe...
Fast and accurate auto-focus in adverse conditions remains an arduous ta...
Multimodal fusion can make semantic segmentation more robust. However, f...
The performance of video frame interpolation is inherently correlated wi...
Limited by hardware cost and system size, camera's Field-of-View (FoV) i...
Semantic scene understanding with Minimalist Optical Systems (MOS) in mo...
Loop closure is an important component of Simultaneous Localization and
...
In this paper, we address panoramic semantic segmentation, which provide...
Panoramic Annular Lens (PAL), composed of few lenses, has great potentia...
Human Pose Estimation (HPE) based on RGB images has experienced a rapid
...
With the rapid development of high-speed communication and artificial
in...
Optical flow estimation is a basic task in self-driving and robotics sys...
Visual-inertial-odometry has attracted extensive attention in the field ...
Optical flow estimation is an essential task in self-driving systems, wh...
Traditional frame-based cameras inevitably suffer from motion blur due t...
Depth estimation, as a necessary clue to convert 2D images into the 3D s...
Aerial pixel-wise scene perception of the surrounding environment is an
...
In this paper, we propose PA-SLAM, a monocular panoramic annular visual ...
Semantic Segmentation (SS) is promising for outdoor scene perception in
...
Semantic segmentation has made striking progress due to the success of d...
Semantic segmentation is a critical method in the field of autonomous
dr...
Semantically interpreting the traffic scene is crucial for autonomous
tr...
Place recognition plays a crucial role in navigational assistance, and i...
Panoramic images have advantages in information capacity and scene stabi...
Currently, semantic segmentation shows remarkable efficiency and reliabi...
Semantic Segmentation (SS) is the task to assign a semantic label to eac...
Semantic Segmentation (SS) is a task to assign semantic label to each pi...
Compared to RGB semantic segmentation, RGBD semantic segmentation can ac...
Visual localization is an attractive problem that estimates the camera
l...
On the off-the-shelf navigational assistance devices, the localization
p...