Humans tend to drive vehicles efficiently by relying on contextual and
s...
Human action recognition is one of the challenging tasks in computer vis...
Depth estimation plays a important role in SLAM, odometry, and autonomou...
Imitation learning is employed to learn sensorimotor coordination for
st...
Most Gaze estimation research only works on a setup condition that a cam...
In recent years, there have been great advances in the field of decentra...
The research advancements have made the neural network algorithms deploy...
Visual perception in autonomous driving is a crucial part of a vehicle t...
Automatic transcription of scene understanding in images and videos is a...
Stereoscopy exposits a natural perception of distance in a scene, and it...
The sensibility and sensitivity of the environment play a decisive role ...
Autonomous vehicles are conceived to provide safe and secure services by...
Modern vehicles are equipped with various driver-assistance systems,
inc...
Recently, deep learning models have achieved great success in computer v...
In this paper, we propose a highly practical fully online multi-object
t...
A recent fatal accident of an autonomous vehicle opens a debate about th...
Traffic scene recognition, which requires various visual classification
...
In skeleton-based action recognition, graph convolutional networks (GCNs...
State-of-the-art lane detection methods achieve successful performance.
...
Abnormal activity detection is one of the most challenging tasks in the ...
In the past few years, the performance of road defect detection has been...
We propose a condition-adaptive representation learning framework for th...
This paper proposes a new evaluation metric and boosting method for weig...
Recent road marking recognition has achieved great success in the past f...
Although most current license plate (LP) recognition applications have b...
In this paper, we present an algorithm for real-world license plate
reco...
In this paper, we propose an efficient online multi-object tracking fram...
In online multiple pedestrian tracking it is of great importance to cons...
In this study, a multiple hypothesis tracking (MHT) algorithm for
multi-...
In this paper, we propose the methods to handle temporal errors during
m...