The recent advancements in deep convolutional neural networks have shown...
Accurate estimation of stereo camera extrinsic parameters is the key to
...
Accurate and robust correspondence matching is of utmost importance for
...
Optical flow and disparity are two informative visual features for auton...
Surface normal holds significant importance in visual environmental
perc...
This research focuses on the bid optimization problem in the real-time
b...
Correspondence matching is a fundamental problem in computer vision and
...
The state-of-the-art (SoTA) surface normal estimators (SNEs) generally
t...
Computer vision algorithms have been prevalently utilized for 3-D road
i...
Road damage is an inconvenience and a safety hazard, severely affecting
...
This paper presents a novel pothole detection approach based on single-m...
For a long time, bone marrow cell morphology examination has been an
ess...
In this paper, we propose a robust edge-direct visual odometry (VO) base...
Existing road pothole detection approaches can be classified as computer...
Convolutional neural network (CNN)-based stereo matching approaches gene...
Stereo matching is a key component of autonomous driving perception. Rec...
Path planning is a fundamental capability for autonomous navigation of
r...
Joint detection of drivable areas and road anomalies is very important f...
Fluid simulations are often performed using the incompressible Navier-St...
In this paper we study the benefit of using the adaptive LASSO for predi...
Potholes are one of the most common forms of road damage, which can seve...
Convolutional neural networks (CNNs) are a promising technique for autom...
For a long time, autonomous cars were found only in science fiction movi...
Keypoints of objects reflect their concise abstractions, while the
corre...
The interpretation of ego motion and scene change is a fundamental task ...
In this paper, we present a multi-agent framework for real-time large-sc...
This paper presents an agile reactive navigation strategy for driving a
...
The joint detection of drivable areas and road anomalies is a crucial ta...
In this paper, we introduce a novel suspect-and-investigate framework, w...
Manual visual inspection performed by certified inspectors is still the ...
Over the past decade, significant efforts have been made to improve the
...
Increasing evidence suggests that, similar to face-to-face communication...
We design a multiscopic vision system that utilizes a low-cost monocular...
Road curb detection is very important and necessary for autonomous drivi...
In this paper, a robust lane detection algorithm is proposed, where the
...
Multi-LiDAR systems have been prevalently applied in modern autonomous
v...
In this paper, we present an autonomous unmanned aerial vehicle (UAV) la...
Pavement condition is crucial for civil infrastructure maintenance. This...
Semantic road region segmentation is a high-level task, which paves the ...
Using different sensors in an autonomous vehicle (AV) can provide multip...
Localization, or position fixing, is an important problem in robotics
re...
High Efficiency Video Coding (HEVC) has doubled the video compression ra...
This paper presents a novel road damage detection algorithm based on
uns...
Pothole detection is one of the most important tasks for road maintenanc...
Over the past decade, many research articles have been published in the ...
This paper presents a robust roll angle estimation algorithm, which is
d...
Multiple lidars are prevalently used on mobile vehicles for rendering a ...
Crack is one of the most common road distresses which may pose road safe...
The condition assessment of road surfaces is essential to ensure their
s...
Power system emergency control is generally regarded as the last safety ...