Sensor and sensor fusion technology in autonomous vehicles: A review
DJ Yeong, G Velasco-Hernandez, J Barry, J Walsh - Sensors, 2021 - mdpi.com
With the significant advancement of sensor and communication technology and the reliable
application of obstacle detection techniques and algorithms, automated driving is becoming …
application of obstacle detection techniques and algorithms, automated driving is becoming …
Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision
Y Tang, H Zhou, H Wang, Y Zhang - Expert systems with applications, 2023 - Elsevier
In the complex environment of an orchard, changes in illumination, leaf occlusion, and fruit
overlap make it challenging for mobile picking robots to detect and locate oil-seed camellia …
overlap make it challenging for mobile picking robots to detect and locate oil-seed camellia …
Tapir: Tracking any point with per-frame initialization and temporal refinement
We present a novel model for Tracking Any Point (TAP) that effectively tracks any queried
point on any physical surface throughout a video sequence. Our approach employs two …
point on any physical surface throughout a video sequence. Our approach employs two …
A review of computer vision–based structural health monitoring at local and global levels
Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …
has gained much attention in the structural health monitoring community in research and …
Deep learning for monocular depth estimation: A review
Depth estimation is a classic task in computer vision, which is of great significance for many
applications such as augmented reality, target tracking and autonomous driving. Traditional …
applications such as augmented reality, target tracking and autonomous driving. Traditional …
Tap-vid: A benchmark for tracking any point in a video
Generic motion understanding from video involves not only tracking objects, but also
perceiving how their surfaces deform and move. This information is useful to make …
perceiving how their surfaces deform and move. This information is useful to make …
A survey of autonomous vehicles: Enabling communication technologies and challenges
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
Real-world blur dataset for learning and benchmarking deblurring algorithms
Numerous learning-based approaches to single image deblurring for camera and object
motion blurs have recently been proposed. To generalize such approaches to real-world …
motion blurs have recently been proposed. To generalize such approaches to real-world …
[HTML][HTML] Calibration of fringe projection profilometry: A comparative review
Fringe projection profilometry is widely used for three-dimensional (3D) measurements.
System calibration is crucial to fringe projection systems, since it determines how the phase …
System calibration is crucial to fringe projection systems, since it determines how the phase …